--- _id: '1991' author: - first_name: Mark full_name: Funk, Mark id: '52473' last_name: Funk - first_name: Matthias full_name: Scharf, Matthias id: '65179' last_name: Scharf - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Hans-Jürgen full_name: Danneel, Hans-Jürgen id: '12231' last_name: Danneel - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Michael full_name: Hübner, Michael last_name: Hübner - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede - first_name: Rob full_name: Stierman, Rob last_name: Stierman - first_name: Alexander full_name: Knobloch, Alexander last_name: Knobloch - first_name: Dinh Khoi full_name: Le, Dinh Khoi last_name: Le - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks citation: ama: 'Funk M, Scharf M, Dörksen H, et al. Creating a Self-authentication System for Smart Banknotes. In: ODS 2020 Review. ; 2020.' apa: Funk, M., Scharf, M., Dörksen, H., Danneel, H.-J., Lohweg, V., Hübner, M., Schaede, J., Stierman, R., Knobloch, A., Le, D. K., Gillich, E., & Mönks, U. (2020). Creating a Self-authentication System for Smart Banknotes. ODS 2020 Review. bjps: Funk M et al. (2020) Creating a Self-Authentication System for Smart Banknotes. ODS 2020 Review. San Francisco, USA. chicago: Funk, Mark, Matthias Scharf, Helene Dörksen, Hans-Jürgen Danneel, Volker Lohweg, Michael Hübner, Johannes Schaede, et al. “Creating a Self-Authentication System for Smart Banknotes.” In ODS 2020 Review. San Francisco, USA., 2020. chicago-de: 'Funk, Mark, Matthias Scharf, Helene Dörksen, Hans-Jürgen Danneel, Volker Lohweg, Michael Hübner, Johannes Schaede, u. a. 2020. Creating a Self-authentication System for Smart Banknotes. In: ODS 2020 Review. San Francisco, USA.' din1505-2-1: 'Funk, Mark ; Scharf, Matthias ; Dörksen, Helene ; Danneel, Hans-Jürgen ; Lohweg, Volker ; Hübner, Michael ; Schaede, Johannes ; Stierman, Rob ; u. a.: Creating a Self-authentication System for Smart Banknotes. In: ODS 2020 Review. San Francisco, USA., 2020' havard: 'M. Funk, M. Scharf, H. Dörksen, H.-J. Danneel, V. Lohweg, M. Hübner, J. Schaede, R. Stierman, A. Knobloch, D.K. Le, E. Gillich, U. Mönks, Creating a Self-authentication System for Smart Banknotes, in: ODS 2020 Review, San Francisco, USA., 2020.' ieee: M. Funk et al., “Creating a Self-authentication System for Smart Banknotes,” San Francisco, 2020. mla: Funk, Mark, et al. “Creating a Self-Authentication System for Smart Banknotes.” ODS 2020 Review, 2020. short: 'M. Funk, M. Scharf, H. Dörksen, H.-J. Danneel, V. Lohweg, M. Hübner, J. Schaede, R. Stierman, A. Knobloch, D.K. Le, E. Gillich, U. Mönks, in: ODS 2020 Review, San Francisco, USA., 2020.' ufg: 'Funk, Mark u. a.: Creating a Self-authentication System for Smart Banknotes, in: o. Hg.: ODS 2020 Review, San Francisco, USA. 2020.' van: 'Funk M, Scharf M, Dörksen H, Danneel HJ, Lohweg V, Hübner M, et al. Creating a Self-authentication System for Smart Banknotes. In: ODS 2020 Review. San Francisco, USA.; 2020.' conference: end_date: 2020-01-31 location: San Francisco start_date: 2020-01-29 date_created: 2019-11-22T12:51:11Z date_updated: 2024-05-17T13:23:21Z department: - _id: DEP5023 - _id: DEP4027 language: - iso: eng main_file_link: - url: https://opticaldigitalsecurity.com/downloads place: San Francisco, USA. publication: ODS 2020 Review publication_status: published status: public title: Creating a Self-authentication System for Smart Banknotes type: conference user_id: '83781' year: '2020' ... --- _id: '2011' author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Mark full_name: Funk, Mark id: '52473' last_name: Funk - first_name: Matthias full_name: Scharf, Matthias id: '65179' last_name: Scharf - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Hans-Jürgen full_name: Danneel, Hans-Jürgen id: '12231' last_name: Danneel - first_name: Michael full_name: Hübner, Michael last_name: Hübner - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede - first_name: Emmanuel full_name: Thony, Emmanuel last_name: Thony - first_name: Alexander full_name: Knobloch, Alexander last_name: Knobloch - first_name: Dinh Khoi full_name: Lee, Dinh Khoi last_name: Lee - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich citation: ama: 'Lohweg V, Funk M, Scharf M, et al. smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco.' apa: Lohweg, V., Funk, M., Scharf, M., Dörksen, H., Danneel, H.-J., Hübner, M., Schaede, J., Thony, E., Knobloch, A., Lee, D. K., Mönks, U., & Gillich, E. (n.d.). smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. XII. Optical Document Security (ODS)Conference, San Francisco, USA. bjps: Lohweg V et al. (n.d.) SmartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA. chicago: Lohweg, Volker, Mark Funk, Matthias Scharf, Helene Dörksen, Hans-Jürgen Danneel, Michael Hübner, Johannes Schaede, et al. “SmartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes.” In Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA, n.d. chicago-de: 'Lohweg, Volker, Mark Funk, Matthias Scharf, Helene Dörksen, Hans-Jürgen Danneel, Michael Hübner, Johannes Schaede, u. a. smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA.' din1505-2-1: 'Lohweg, Volker ; Funk, Mark ; Scharf, Matthias ; Dörksen, Helene ; Danneel, Hans-Jürgen ; Hübner, Michael ; Schaede, Johannes ; Thony, Emmanuel ; u. a.: smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA' havard: 'V. Lohweg, M. Funk, M. Scharf, H. Dörksen, H.-J. Danneel, M. Hübner, J. Schaede, E. Thony, A. Knobloch, D.K. Lee, U. Mönks, E. Gillich, smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes, in: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco, CA, USA, n.d.' ieee: V. Lohweg et al., “smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes,” presented at the XII. Optical Document Security (ODS)Conference, San Francisco, USA. mla: Lohweg, Volker, et al. “SmartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes.” Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. short: 'V. Lohweg, M. Funk, M. Scharf, H. Dörksen, H.-J. Danneel, M. Hübner, J. Schaede, E. Thony, A. Knobloch, D.K. Lee, U. Mönks, E. Gillich, in: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco, CA, USA, n.d.' ufg: 'Lohweg, Volker u. a.: smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes, in: o. Hg.: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco, CA, USA o. J.' van: 'Lohweg V, Funk M, Scharf M, Dörksen H, Danneel HJ, Hübner M, et al. smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes. In: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco. CA, USA;' conference: end_date: 2018-01-31 location: San Francisco, USA name: XII. Optical Document Security (ODS)Conference start_date: 2018-01-29 date_created: 2019-11-25T08:35:52Z date_updated: 2024-05-17T13:04:57Z department: - _id: DEP5023 - _id: DEP4027 language: - iso: eng place: ' CA, USA' publication: Optical Document Security - The Conference on Optical Security and Counterfeit Detection XII San Francisco publication_status: submitted status: public title: smartBN—Intelligent Protection and Authentication in Payment Transactions by Smart Banknotes type: conference user_id: '83781' year: '2018' ... --- _id: '2014' abstract: - lang: eng text: Industrial applications are in transition towards modular and flexible architectures that are capable of self-configuration and -optimisation. This is due to the demand of mass customisation and the increasing complexity of industrial systems. The conversion to modular systems is related to challenges in all disciplines. Consequently, diverse tasks such as information processing, extensive networking, or system monitoring using sensor and information fusion systems need to be reconsidered. The focus of this contribution is on distributed sensor and information fusion systems for system monitoring, which must reflect the increasing flexibility of fusion systems. This contribution thus proposes an approach, which relies on a network of self-descriptive intelligent sensor nodes, for the automatic design and update of sensor and information fusion systems. This article encompasses the fusion system configuration and adaptation as well as communication aspects. Manual interaction with the flexibly changing system is reduced to a minimum. article_number: '601' author: - first_name: Alexander full_name: Fritze, Alexander last_name: Fritze - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Christoph-Alexander full_name: Holst, Christoph-Alexander id: '64782' last_name: Holst - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System Design and Adaptation. Sensors. 2017;17(3). doi: https://doi.org/10.3390/s17030601 apa: Fritze, A., Mönks, U., Holst, C.-A., & Lohweg, V. (2017). An Approach to Automated Fusion System Design and Adaptation. Sensors, 17(3). https://doi.org/ https://doi.org/10.3390/s17030601 bjps: Fritze A et al. (2017) An Approach to Automated Fusion System Design and Adaptation. Sensors 17. chicago: Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst, and Volker Lohweg. “An Approach to Automated Fusion System Design and Adaptation.” Sensors 17, no. 3 (2017). https://doi.org/ https://doi.org/10.3390/s17030601. chicago-de: Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst und Volker Lohweg. 2017. An Approach to Automated Fusion System Design and Adaptation. Sensors 17, Nr. 3. doi: https://doi.org/10.3390/s17030601, . din1505-2-1: 'Fritze, Alexander ; Mönks, Uwe ; Holst, Christoph-Alexander ; Lohweg, Volker: An Approach to Automated Fusion System Design and Adaptation. In: Sensors Bd. 17 (2017), Nr. 3' havard: A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, An Approach to Automated Fusion System Design and Adaptation, Sensors. 17 (2017). ieee: A. Fritze, U. Mönks, C.-A. Holst, and V. Lohweg, “An Approach to Automated Fusion System Design and Adaptation,” Sensors, vol. 17, no. 3, 2017. mla: Fritze, Alexander, et al. “An Approach to Automated Fusion System Design and Adaptation.” Sensors, vol. 17, no. 3, 601, 2017, doi: https://doi.org/10.3390/s17030601. short: A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, Sensors 17 (2017). ufg: 'Fritze, Alexander et. al. (2017): An Approach to Automated Fusion System Design and Adaptation, in: Sensors 17 (3).' van: Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System Design and Adaptation. Sensors. 2017;17(3). date_created: 2019-11-25T08:52:14Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: ' https://doi.org/10.3390/s17030601' intvolume: ' 17' issue: '3' keyword: - information fusion - intelligent sensor - knowledge-based system - self-configuration - sensor fusion language: - iso: eng main_file_link: - open_access: '1' url: https://www.mdpi.com/1424-8220/17/3/601/htm oa: '1' publication: Sensors publication_identifier: issn: - 1424-8220 publication_status: published status: public title: An Approach to Automated Fusion System Design and Adaptation type: journal_article user_id: '15514' volume: 17 year: 2017 ... --- _id: '2018' abstract: - lang: eng text: Applying information fusion systems aims at gaining information of higher quality and simultaneously decreasing computational and communicational efforts. An increased availability of sensors in industrial machines, but also in everyday life, results in large amounts of potential features. Each feature entails computational and communicational costs. An information fusion system may not require all features, supported by the available sensors, to fulfil its purpose. Feature selection methods reduce the amount of features with the aim to maintain or even increase performance. This contribution proposes a feature selection approach exploiting the inherent conflict between features and utilising a state-ofthe-art information fusion operator. The performance of the proposed method is evaluated in the scope of a publicly available data set and benchmarked against an established feature selection method. It is shown that the proposed approach is faster and produces more accurate feature subsets containing very few features, although the established method produces slightly better performing subsets for large feature subsets. author: - first_name: Christoph-Alexander full_name: Holst, Christoph-Alexander id: '64782' last_name: Holst - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Holst C-A, Mönks U, Lohweg V. Conflict-based Feature Selection for Information Fusion Systems. In: Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2017:279-295. doi:10.5445/KSP/1000074341' apa: 'Holst, C.-A., Mönks, U., & Lohweg, V. (2017). Conflict-based Feature Selection for Information Fusion Systems (pp. 279–295). Presented at the 27. Workshop Computational Intelligence , Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). https://doi.org/10.5445/KSP/1000074341' bjps: 'Holst C-A, Mönks U and Lohweg V (2017) Conflict-Based Feature Selection for Information Fusion Systems. Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), pp. 279–295.' chicago: 'Holst, Christoph-Alexander, Uwe Mönks, and Volker Lohweg. “Conflict-Based Feature Selection for Information Fusion Systems,” 279–95. Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2017. https://doi.org/10.5445/KSP/1000074341.' chicago-de: 'Holst, Christoph-Alexander, Uwe Mönks und Volker Lohweg. 2017. Conflict-based Feature Selection for Information Fusion Systems. In: , 279–295. Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA). doi:10.5445/KSP/1000074341, .' din1505-2-1: 'Holst, Christoph-Alexander ; Mönks, Uwe ; Lohweg, Volker: Conflict-based Feature Selection for Information Fusion Systems. In: . Dortmund : 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2017, S. 279–295' havard: 'C.-A. Holst, U. Mönks, V. Lohweg, Conflict-based Feature Selection for Information Fusion Systems, in: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, 2017: pp. 279–295.' ieee: C.-A. Holst, U. Mönks, and V. Lohweg, “Conflict-based Feature Selection for Information Fusion Systems,” presented at the 27. Workshop Computational Intelligence , Dortmund, 2017, pp. 279–295. mla: Holst, Christoph-Alexander, et al. Conflict-Based Feature Selection for Information Fusion Systems. 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2017, pp. 279–95, doi:10.5445/KSP/1000074341. short: 'C.-A. Holst, U. Mönks, V. Lohweg, in: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, 2017, pp. 279–295.' ufg: 'Holst, Christoph-Alexander et. al. (2017): Conflict-based Feature Selection for Information Fusion Systems, in: , Dortmund, S. 279–295.' van: 'Holst C-A, Mönks U, Lohweg V. Conflict-based Feature Selection for Information Fusion Systems. In Dortmund: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2017. p. 279–95.' conference: end_date: 2017-11-24 location: Dortmund name: '27. Workshop Computational Intelligence ' start_date: 2017-11-23 date_created: 2019-11-25T09:06:44Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.5445/KSP/1000074341 language: - iso: eng main_file_link: - open_access: '1' url: https://d-nb.info/1147444048/34#page=291 oa: '1' page: 279-295 place: Dortmund publication_identifier: eisbn: - 978-3-7315-0726-0 publication_status: published publisher: 27. Workshop Computational Intelligence VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) status: public title: Conflict-based Feature Selection for Information Fusion Systems type: conference user_id: '15514' year: 2017 ... --- _id: '2030' author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks citation: ama: Lohweg V, Mönks U. Schwellwerte und Sensoren - Predictive Maintenance in der Praxis. Unternehmermagazin. 2016;64(3/4). apa: Lohweg, V., & Mönks, U. (2016). Schwellwerte und Sensoren - Predictive Maintenance in der Praxis. Unternehmermagazin, 64(3/4). bjps: Lohweg V and Mönks U (2016) Schwellwerte Und Sensoren - Predictive Maintenance in Der Praxis. Unternehmermagazin 64. chicago: Lohweg, Volker, and Uwe Mönks. “Schwellwerte Und Sensoren - Predictive Maintenance in Der Praxis.” Unternehmermagazin 64, no. 3/4 (2016). chicago-de: Lohweg, Volker und Uwe Mönks. 2016. Schwellwerte und Sensoren - Predictive Maintenance in der Praxis. Unternehmermagazin 64, Nr. 3/4. din1505-2-1: 'Lohweg, Volker ; Mönks, Uwe: Schwellwerte und Sensoren - Predictive Maintenance in der Praxis. In: Unternehmermagazin Bd. 64 (2016), Nr. 3/4' havard: V. Lohweg, U. Mönks, Schwellwerte und Sensoren - Predictive Maintenance in der Praxis, Unternehmermagazin. 64 (2016). ieee: V. Lohweg and U. Mönks, “Schwellwerte und Sensoren - Predictive Maintenance in der Praxis,” Unternehmermagazin, vol. 64, no. 3/4, 2016. mla: Lohweg, Volker, and Uwe Mönks. “Schwellwerte Und Sensoren - Predictive Maintenance in Der Praxis.” Unternehmermagazin, vol. 64, no. 3/4, 2016. short: V. Lohweg, U. Mönks, Unternehmermagazin 64 (2016). ufg: 'Lohweg, Volker/Mönks, Uwe (2016): Schwellwerte und Sensoren - Predictive Maintenance in der Praxis, in: Unternehmermagazin 64 (3/4).' van: Lohweg V, Mönks U. Schwellwerte und Sensoren - Predictive Maintenance in der Praxis. Unternehmermagazin. 2016;64(3/4). date_created: 2019-11-26T14:43:07Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 intvolume: ' 64' issue: 3/4 language: - iso: eng publication: Unternehmermagazin publication_identifier: issn: - 0022-6416 status: public title: Schwellwerte und Sensoren - Predictive Maintenance in der Praxis type: journal_article user_id: '68554' volume: 64 year: 2016 ... --- _id: '2031' abstract: - lang: eng text: Currently, new research questions arise because of the paradigms of Industry 4.0, which aims to bring together mechatronic systems and information technologies. Its general idea is to create an Internet of Things consisting of communicating machines, which implement concepts for self-configuration, -diagnosis, and -optimisation. The realisation of these functionalities is in focus of current research and gains in importance not only in the industrial sector. The overall goal is to equip technical systems with intelligence to enable for autonomous behaviour. Therefore, tasks like information processing, extensive networking, or system monitoring using sensor and information fusion systems have to be reconsidered. This contribution focuses on the design and maintenance of sensor and information fusion systems and presents a preliminary evaluation of a design concept for such applications. The concept is developed to automatically configure sensor and information fusion systems, which is a time-consuming and complex task when carried out manually. It reduces the perceived complexity of the application and supports the designer during design and maintenance of the sensor and information fusion system. author: - first_name: Alexander full_name: Fritze, Alexander last_name: Fritze - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Fritze A, Mönks U, Lohweg V. A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems. In: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016). Berlin; 2016.' apa: Fritze, A., Mönks, U., & Lohweg, V. (2016). A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems. In 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016). Berlin. bjps: Fritze A, Mönks U and Lohweg V (2016) A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems. 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016). Berlin. chicago: Fritze, Alexander, Uwe Mönks, and Volker Lohweg. “A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems.” In 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016). Berlin, 2016. chicago-de: 'Fritze, Alexander, Uwe Mönks und Volker Lohweg. 2016. A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems. In: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016). Berlin.' din1505-2-1: 'Fritze, Alexander ; Mönks, Uwe ; Lohweg, Volker: A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems. In: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016). Berlin, 2016' havard: 'A. Fritze, U. Mönks, V. Lohweg, A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems, in: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin, 2016.' ieee: A. Fritze, U. Mönks, and V. Lohweg, “A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems,” in 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), 2016. mla: Fritze, Alexander, et al. “A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems.” 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), 2016. short: 'A. Fritze, U. Mönks, V. Lohweg, in: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin, 2016.' ufg: 'Fritze, Alexander et. al. (2016): A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems, in: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016), Berlin.' van: 'Fritze A, Mönks U, Lohweg V. A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems. In: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016). Berlin; 2016.' date_created: 2019-11-26T14:43:08Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng place: Berlin publication: 21th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA 2016) status: public title: A Concept for Self-Configuration of Adaptive Sensor and Information Fusion Systems type: conference user_id: '74004' year: 2016 ... --- _id: '2036' abstract: - lang: eng text: In industrial processes a vast variety of different sensors is increasingly used to measure and control processes, machines, and logistics. One way to handle the resulting large amount of data created by hundreds or even thousands of different sensors in an application is to employ information fusion systems. Information fusion systems, e.g. for condition monitoring, combine different sources of information, like sensors, to generate the state of a complex system. The result of such an information fusion process is regarded as a health indicator of a complex system. Therefore, information fusion approaches are applied to, e.g., automatically inform one about a reduction in production quality, or detect possibly dangerous situations. Considering the importance of sensors in the previously described information fusion systems and in industrial processes in general, a defective sensor has several negative consequences. It may lead to machine failure, e.g. when wear and tear of a machine is not detected sufficiently in advance. In this contribution we present a method to detect faulty sensors by computing the consistency between sensor values. The proposed sensor defect detection algorithm exemplarily utilises the structure of a multilayered group-based sensor fusion algorithm. Defect detection results of the proposed method for different test cases and the method's capability to detect a number of typical sensor defects are shown. author: - first_name: Jan-Friedrich full_name: Ehlenbröker, Jan-Friedrich id: '1852' last_name: Ehlenbröker - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Ehlenbröker J-F, Mönks U, Lohweg V. Sensor Defect Detection in Multisensor Information Fusion. In: Journal of Sensors and Sensor Systems, ISSN 2194-8771. Copernicus Publications; 2016.' apa: Ehlenbröker, J.-F., Mönks, U., & Lohweg, V. (2016). Sensor Defect Detection in Multisensor Information Fusion. In Journal of Sensors and Sensor Systems, ISSN 2194-8771. Copernicus Publications. bjps: Ehlenbröker J-F, Mönks U and Lohweg V (2016) Sensor Defect Detection in Multisensor Information Fusion. Journal of Sensors and Sensor Systems, ISSN 2194-8771. Copernicus Publications. chicago: Ehlenbröker, Jan-Friedrich, Uwe Mönks, and Volker Lohweg. “Sensor Defect Detection in Multisensor Information Fusion.” In Journal of Sensors and Sensor Systems, ISSN 2194-8771. Copernicus Publications, 2016. chicago-de: 'Ehlenbröker, Jan-Friedrich, Uwe Mönks und Volker Lohweg. 2016. Sensor Defect Detection in Multisensor Information Fusion. In: Journal of Sensors and Sensor Systems, ISSN 2194-8771. Copernicus Publications.' din1505-2-1: 'Ehlenbröker, Jan-Friedrich ; Mönks, Uwe ; Lohweg, Volker: Sensor Defect Detection in Multisensor Information Fusion. In: Journal of Sensors and Sensor Systems, ISSN 2194-8771 : Copernicus Publications, 2016' havard: 'J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Sensor Defect Detection in Multisensor Information Fusion, in: Journal of Sensors and Sensor Systems, ISSN 2194-8771, Copernicus Publications, 2016.' ieee: J.-F. Ehlenbröker, U. Mönks, and V. Lohweg, “Sensor Defect Detection in Multisensor Information Fusion,” in Journal of Sensors and Sensor Systems, ISSN 2194-8771, 2016. mla: Ehlenbröker, Jan-Friedrich, et al. “Sensor Defect Detection in Multisensor Information Fusion.” Journal of Sensors and Sensor Systems, ISSN 2194-8771, Copernicus Publications, 2016. short: 'J.-F. Ehlenbröker, U. Mönks, V. Lohweg, in: Journal of Sensors and Sensor Systems, ISSN 2194-8771, Copernicus Publications, 2016.' ufg: 'Ehlenbröker, Jan-Friedrich et. al. (2016): Sensor Defect Detection in Multisensor Information Fusion, in: Journal of Sensors and Sensor Systems, ISSN 2194-8771.' van: 'Ehlenbröker J-F, Mönks U, Lohweg V. Sensor Defect Detection in Multisensor Information Fusion. In: Journal of Sensors and Sensor Systems, ISSN 2194-8771. Copernicus Publications; 2016.' date_created: 2019-11-26T14:43:15Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng publication: Journal of Sensors and Sensor Systems, ISSN 2194-8771 publisher: Copernicus Publications status: public title: Sensor Defect Detection in Multisensor Information Fusion type: conference user_id: '74004' year: 2016 ... --- _id: '2037' abstract: - lang: eng text: The complexity of industrial applications has constantly increased over the last decades. New paradigms arise in the context of the fourth industrial revolution by bringing together mechatronic systems and information technologies. Tasks like information processing, extensive networking, or system monitoring using sensor and information fusion systems are incorporated with the aim to design applications that are capable for self-configuration, -diagnosis, and -optimisation. This contribution focuses on the design of sensor and information fusion systems. A methodology for the design process of such systems is proposed that serves as tool for auto-configuration to facilitate self-diagnosis and -optimisation. author: - first_name: Alexander full_name: Fritze, Alexander last_name: Fritze - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Fritze A, Mönks U, Lohweg V. A Support System for Sensor and Information Fusion System Design. In: 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering . Paderborn, Germany; 2016.' apa: Fritze, A., Mönks, U., & Lohweg, V. (2016). A Support System for Sensor and Information Fusion System Design. In 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering . Paderborn, Germany. bjps: Fritze A, Mönks U and Lohweg V (2016) A Support System for Sensor and Information Fusion System Design. 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering . Paderborn, Germany. chicago: Fritze, Alexander, Uwe Mönks, and Volker Lohweg. “A Support System for Sensor and Information Fusion System Design.” In 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering . Paderborn, Germany, 2016. chicago-de: 'Fritze, Alexander, Uwe Mönks und Volker Lohweg. 2016. A Support System for Sensor and Information Fusion System Design. In: 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering . Paderborn, Germany.' din1505-2-1: 'Fritze, Alexander ; Mönks, Uwe ; Lohweg, Volker: A Support System for Sensor and Information Fusion System Design. In: 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering  : Paderborn, Germany, 2016' havard: 'A. Fritze, U. Mönks, V. Lohweg, A Support System for Sensor and Information Fusion System Design, in: 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering , Paderborn, Germany, 2016.' ieee: A. Fritze, U. Mönks, and V. Lohweg, “A Support System for Sensor and Information Fusion System Design,” in 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering , 2016. mla: Fritze, Alexander, et al. “A Support System for Sensor and Information Fusion System Design.” 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering , Paderborn, Germany, 2016. short: 'A. Fritze, U. Mönks, V. Lohweg, in: 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering , Paderborn, Germany, 2016.' ufg: 'Fritze, Alexander et. al. (2016): A Support System for Sensor and Information Fusion System Design, in: 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering .' van: 'Fritze A, Mönks U, Lohweg V. A Support System for Sensor and Information Fusion System Design. In: 3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering . Paderborn, Germany; 2016.' date_created: 2019-11-26T14:43:16Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng publication: '3rd International Conference on System-Integrated Intelligence - New Challenges for Product and Production Engineering ' publisher: Paderborn, Germany status: public title: A Support System for Sensor and Information Fusion System Design type: conference user_id: '74004' year: 2016 ... --- _id: '2044' abstract: - lang: eng text: Sensors, and also actuators or external sources such as databases, serve as data sources in order to realise condition monitoring of industrial applications or the acquisition of characteristic parameters like production speed or reject rate. Modern facilities create such a large amount of complex data that a machine operator is unable to comprehend and process the information contained in the data. Thus, information fusion mechanisms gain increasing importance. Besides the management of large amounts of data, further challenges towards the fusion algorithms arise from epistemic uncertainties (incomplete knowledge) in the input signals as well as conflicts between them. These aspects must be considered during information processing to obtain reliable results, which are in accordance with the real world. The analysis of the scientific state of the art shows that current solutions fulfil said requirements at most only partly. This article proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) employing the μBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. The performance of the contribution is shown by its evaluation in the scope of a machine condition monitoring application under laboratory conditions. Here, the MACRO system yields the best results compared to state-of-the-art fusion mechanisms. The utilised data is published and freely accessible. article_number: '1798' author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Michael full_name: Hübner, Michael last_name: Hübner citation: ama: Mönks U, Dörksen H, Lohweg V, Hübner M. Information Fusion of Conflicting Input Data. Sensors. 2016. doi:10.3390/s16111798 apa: Mönks, U., Dörksen, H., Lohweg, V., & Hübner, M. (2016). Information Fusion of Conflicting Input Data. Sensors. https://doi.org/10.3390/s16111798 bjps: Mönks U et al. (2016) Information Fusion of Conflicting Input Data. Sensors. chicago: Mönks, Uwe, Helene Dörksen, Volker Lohweg, and Michael Hübner. “Information Fusion of Conflicting Input Data.” Sensors, 2016. https://doi.org/10.3390/s16111798. chicago-de: Mönks, Uwe, Helene Dörksen, Volker Lohweg und Michael Hübner. 2016. Information Fusion of Conflicting Input Data. Sensors. doi:10.3390/s16111798, . din1505-2-1: 'Mönks, Uwe ; Dörksen, Helene ; Lohweg, Volker ; Hübner, Michael: Information Fusion of Conflicting Input Data. In: Sensors (2016)' havard: U. Mönks, H. Dörksen, V. Lohweg, M. Hübner, Information Fusion of Conflicting Input Data, Sensors. (2016). ieee: U. Mönks, H. Dörksen, V. Lohweg, and M. Hübner, “Information Fusion of Conflicting Input Data,” Sensors, 2016. mla: Mönks, Uwe, et al. “Information Fusion of Conflicting Input Data.” Sensors, 1798, 2016, doi:10.3390/s16111798. short: U. Mönks, H. Dörksen, V. Lohweg, M. Hübner, Sensors (2016). ufg: 'Mönks, Uwe et. al. (2016): Information Fusion of Conflicting Input Data, in: Sensors.' van: Mönks U, Dörksen H, Lohweg V, Hübner M. Information Fusion of Conflicting Input Data. Sensors. 2016; date_created: 2019-11-26T15:03:36Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.3390/s16111798 language: - iso: eng main_file_link: - open_access: '1' url: https://www.mdpi.com/1424-8220/16/11/1798 oa: '1' publication: Sensors publication_identifier: issn: - 1424-8220 publication_status: published status: public title: Information Fusion of Conflicting Input Data type: journal_article user_id: '68554' year: 2016 ... --- _id: '2140' abstract: - lang: eng text: 'Recent industrial applications are implemented in a modular way, resulting in flexibility during the whole life cycle, i.e., setup, operation, and maintenance. This applies especially to larger applications like logistic, production, and printing processes. Their modular character is resulting from the constantly increasing complexity of such installations, which makes their supervision for securing reliable operation a difficult task: the data of hundreds (if not thousands) of signal sources must be acquired, communicated, and evaluated for system diagnosis. In this contribution we summarize the challenges arising in such applications and show that distributed sensor and information fusion for modular self-diagnosis tackles these challenges. Here, we propose an innovative distributed architecture encompassing intelligent sensor nodes, self-configuring real-time communication networks, and a suitable sensor and information fusion system for condition monitoring. New challenges arise in the context of distributed information fusion systems, which are identified and to which an outlook on future solutions is provided. A number of these solutions have already been discovered, implemented, and are evaluated in the context of a demonstrator, which resembles a real-world printing application.' author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Henning full_name: Trsek, Henning id: '1486' last_name: Trsek - first_name: Lars full_name: Dürkop, Lars last_name: Dürkop - first_name: Volker full_name: Geneiß, Volker last_name: Geneiß - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: Mönks U, Trsek H, Dürkop L, Geneiß V, Lohweg V. Towards distributed intelligent sensor and information fusion. Mechatronics. 2015;(34):63-71. doi:10.1016/j.mechatronics.2015.05.005 apa: Mönks, U., Trsek, H., Dürkop, L., Geneiß, V., & Lohweg, V. (2015). Towards distributed intelligent sensor and information fusion. Mechatronics, (34), 63–71. https://doi.org/10.1016/j.mechatronics.2015.05.005 bjps: Mönks U et al. (2015) Towards Distributed Intelligent Sensor and Information Fusion. Mechatronics 63–71. chicago: 'Mönks, Uwe, Henning Trsek, Lars Dürkop, Volker Geneiß, and Volker Lohweg. “Towards Distributed Intelligent Sensor and Information Fusion.” Mechatronics, no. 34 (2015): 63–71. https://doi.org/10.1016/j.mechatronics.2015.05.005.' chicago-de: 'Mönks, Uwe, Henning Trsek, Lars Dürkop, Volker Geneiß und Volker Lohweg. 2015. Towards distributed intelligent sensor and information fusion. Mechatronics, Nr. 34: 63–71. doi:10.1016/j.mechatronics.2015.05.005, .' din1505-2-1: 'Mönks, Uwe ; Trsek, Henning ; Dürkop, Lars ; Geneiß, Volker ; Lohweg, Volker: Towards distributed intelligent sensor and information fusion. In: Mechatronics, Elsevier (2015), Nr. 34, S. 63–71' havard: U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, V. Lohweg, Towards distributed intelligent sensor and information fusion, Mechatronics. (2015) 63–71. ieee: U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, and V. Lohweg, “Towards distributed intelligent sensor and information fusion,” Mechatronics, no. 34, pp. 63–71, 2015. mla: Mönks, Uwe, et al. “Towards Distributed Intelligent Sensor and Information Fusion.” Mechatronics, no. 34, Elsevier, 2015, pp. 63–71, doi:10.1016/j.mechatronics.2015.05.005. short: U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, V. Lohweg, Mechatronics (2015) 63–71. ufg: 'Mönks, Uwe et. al. (2015): Towards distributed intelligent sensor and information fusion, in: Mechatronics (34), S. 63–71.' van: Mönks U, Trsek H, Dürkop L, Geneiß V, Lohweg V. Towards distributed intelligent sensor and information fusion. Mechatronics. 2015;(34):63–71. date_created: 2019-12-04T09:29:07Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: 10.1016/j.mechatronics.2015.05.005 issue: '34' keyword: - Cyber-physical systems - Information fusion - Fusion system design - Intelligent sensors - Self-configuration - Intelligent networking language: - iso: eng main_file_link: - open_access: '1' url: https://www.sciencedirect.com/science/article/pii/S0957415815000707 oa: '1' page: 63-71 publication: Mechatronics publication_identifier: issn: - 0957-4158 publisher: Elsevier status: public title: Towards distributed intelligent sensor and information fusion type: journal_article user_id: '68554' year: 2015 ... --- _id: '2145' abstract: - lang: eng text: One general problem is the detection of sensor defects. Defective sensors can have several negative consequences, e. g., they will lead to machine failure when wear and tear of a machine is not detected sufficiently in advance. In this contribution we present a method to detect faulty sensors by calculating the consistency between sensor values. Background for this consistency-driven approach is a sensor fusion algorithm which combines sensors to attributes. These attributes are generally created based on local or thematical proximity. Therefore a consistency based approach is promising. author: - first_name: Jan-Friedrich full_name: Ehlenbröker, Jan-Friedrich id: '1852' last_name: Ehlenbröker - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Ehlenbröker J-F, Mönks U, Lohweg V. Consistency Based Sensor Defect Detection . In: AMA Conferences 2015, SENSOR 2015 - IRS2 2015. Nuremberg, Germany: AMA-Fachverband; 2015:878-883.' apa: 'Ehlenbröker, J.-F., Mönks, U., & Lohweg, V. (2015). Consistency Based Sensor Defect Detection . In AMA Conferences 2015, SENSOR 2015 - IRS2 2015 (pp. 878–883). Nuremberg, Germany: AMA-Fachverband.' bjps: 'Ehlenbröker J-F, Mönks U and Lohweg V (2015) Consistency Based Sensor Defect Detection . AMA Conferences 2015, SENSOR 2015 - IRS2 2015. Nuremberg, Germany: AMA-Fachverband, pp. 878–883.' chicago: 'Ehlenbröker, Jan-Friedrich, Uwe Mönks, and Volker Lohweg. “Consistency Based Sensor Defect Detection .” In AMA Conferences 2015, SENSOR 2015 - IRS2 2015, 878–83. Nuremberg, Germany: AMA-Fachverband, 2015.' chicago-de: 'Ehlenbröker, Jan-Friedrich, Uwe Mönks und Volker Lohweg. 2015. Consistency Based Sensor Defect Detection . In: AMA Conferences 2015, SENSOR 2015 - IRS2 2015, 878–883. Nuremberg, Germany: AMA-Fachverband.' din1505-2-1: 'Ehlenbröker, Jan-Friedrich ; Mönks, Uwe ; Lohweg, Volker: Consistency Based Sensor Defect Detection . In: AMA Conferences 2015, SENSOR 2015 - IRS2 2015. Nuremberg, Germany : AMA-Fachverband, 2015, S. 878–883' havard: 'J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Consistency Based Sensor Defect Detection , in: AMA Conferences 2015, SENSOR 2015 - IRS2 2015, AMA-Fachverband, Nuremberg, Germany, 2015: pp. 878–883.' ieee: J.-F. Ehlenbröker, U. Mönks, and V. Lohweg, “Consistency Based Sensor Defect Detection ,” in AMA Conferences 2015, SENSOR 2015 - IRS2 2015, 2015, pp. 878–883. mla: Ehlenbröker, Jan-Friedrich, et al. “Consistency Based Sensor Defect Detection .” AMA Conferences 2015, SENSOR 2015 - IRS2 2015, AMA-Fachverband, 2015, pp. 878–83. short: 'J.-F. Ehlenbröker, U. Mönks, V. Lohweg, in: AMA Conferences 2015, SENSOR 2015 - IRS2 2015, AMA-Fachverband, Nuremberg, Germany, 2015, pp. 878–883.' ufg: 'Ehlenbröker, Jan-Friedrich et. al. (2015): Consistency Based Sensor Defect Detection , in: AMA Conferences 2015, SENSOR 2015 - IRS2 2015, Nuremberg, Germany, S. 878–883.' van: 'Ehlenbröker J-F, Mönks U, Lohweg V. Consistency Based Sensor Defect Detection . In: AMA Conferences 2015, SENSOR 2015 - IRS2 2015. Nuremberg, Germany: AMA-Fachverband; 2015. p. 878–83.' date_created: 2019-12-04T09:48:11Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 language: - iso: eng main_file_link: - open_access: '1' url: https://www.ama-science.org/proceedings/details/2090 oa: '1' page: 878 - 883 place: Nuremberg, Germany publication: AMA Conferences 2015, SENSOR 2015 - IRS2 2015 publication_identifier: isbn: - '978-3-9813484-8-4 ' publisher: AMA-Fachverband status: public title: 'Consistency Based Sensor Defect Detection ' type: conference user_id: '68554' year: 2015 ... --- _id: '2155' abstract: - lang: eng text: Today, mobile devices (smartphones, tablets, etc.) are widespread and of high importance for their users. Their performance as well as versatility increases over time. This leads to the opportunity to use such devices for more specific tasks like image processing in an industrial context. For the analysis of images requirements like image quality (blur, illumination, etc.) as well as a defined relative position of the object to be inspected are crucial. Since mobile devices are handheld and used in constantly changing environments the challenge is to fulfill these requirements. We present an approach to overcome the obstacles and stabilize the image capturing process such that image analysis becomes significantly improved on mobile devices. Therefore, image processing methods are combined with sensor fusion concepts. The approach consists of three main parts. First, pose estimation methods are used to guide a user moving the device to a defined position. Second, the sensors data and the pose information are combined for relative motion estimation. Finally, the image capturing process is automated. It is triggered depending on the alignment of the device and the object as well as the image quality that can be achieved under consideration of motion and environmental effects. author: - first_name: Kai-Fabian full_name: Henning, Kai-Fabian id: '44017' last_name: Henning - first_name: Alexander full_name: Fritze, Alexander last_name: Fritze - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Henning K-F, Fritze A, Gillich E, Mönks U, Lohweg V. Stable Image Acquisition for Mobile Image Processing Applications. In: IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI. San Francisco, CA, USA: SPIE; 2015:1-12. doi:10.1117/12.2076146' apa: 'Henning, K.-F., Fritze, A., Gillich, E., Mönks, U., & Lohweg, V. (2015). Stable Image Acquisition for Mobile Image Processing Applications. In IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI (pp. 1–12). San Francisco, CA, USA: SPIE. https://doi.org/10.1117/12.2076146' bjps: 'Henning K-F et al. (2015) Stable Image Acquisition for Mobile Image Processing Applications. IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI. San Francisco, CA, USA: SPIE, pp. 1–12.' chicago: 'Henning, Kai-Fabian, Alexander Fritze, Eugen Gillich, Uwe Mönks, and Volker Lohweg. “Stable Image Acquisition for Mobile Image Processing Applications.” In IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI, 1–12. San Francisco, CA, USA: SPIE, 2015. https://doi.org/10.1117/12.2076146.' chicago-de: 'Henning, Kai-Fabian, Alexander Fritze, Eugen Gillich, Uwe Mönks und Volker Lohweg. 2015. Stable Image Acquisition for Mobile Image Processing Applications. In: IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI, 1–12. San Francisco, CA, USA: SPIE. doi:10.1117/12.2076146, .' din1505-2-1: 'Henning, Kai-Fabian ; Fritze, Alexander ; Gillich, Eugen ; Mönks, Uwe ; Lohweg, Volker: Stable Image Acquisition for Mobile Image Processing Applications. In: IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI. San Francisco, CA, USA : SPIE, 2015, S. 1–12' havard: 'K.-F. Henning, A. Fritze, E. Gillich, U. Mönks, V. Lohweg, Stable Image Acquisition for Mobile Image Processing Applications, in: IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI, SPIE, San Francisco, CA, USA, 2015: pp. 1–12.' ieee: K.-F. Henning, A. Fritze, E. Gillich, U. Mönks, and V. Lohweg, “Stable Image Acquisition for Mobile Image Processing Applications,” in IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI, 2015, pp. 1–12. mla: Henning, Kai-Fabian, et al. “Stable Image Acquisition for Mobile Image Processing Applications.” IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI, SPIE, 2015, pp. 1–12, doi:10.1117/12.2076146. short: 'K.-F. Henning, A. Fritze, E. Gillich, U. Mönks, V. Lohweg, in: IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI, SPIE, San Francisco, CA, USA, 2015, pp. 1–12.' ufg: 'Henning, Kai-Fabian et. al. (2015): Stable Image Acquisition for Mobile Image Processing Applications, in: IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI, San Francisco, CA, USA, S. 1–12.' van: 'Henning K-F, Fritze A, Gillich E, Mönks U, Lohweg V. Stable Image Acquisition for Mobile Image Processing Applications. In: IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI. San Francisco, CA, USA: SPIE; 2015. p. 1–12.' date_created: 2019-12-04T10:07:01Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: 10.1117/12.2076146 keyword: - Image processing - Image acquisition - Mobile devices Sensors - Image fusion - Motion estimation - Cameras language: - iso: eng main_file_link: - open_access: '1' url: https://www.spiedigitallibrary.org/conference-proceedings-of-spie/9404/94040N/Stable-image-acquisition-for-mobile-image-processing-applications/10.1117/12.2076146.full?SSO=1 oa: '1' page: 1-12 place: San Francisco, CA, USA publication: IST/SPIE Electronic Imaging 2015, Digital Photography and Mobile Imaging XI publisher: SPIE status: public title: Stable Image Acquisition for Mobile Image Processing Applications type: conference user_id: '68554' year: 2015 ... --- _id: '2146' abstract: - lang: eng text: The increased deployment of information technology for information processing, extensive networking, and system/environment monitoring using sensor and information fusion systems are essential characteristics of cyber-physical systems. They allow an autonomous recognition and evaluation of the system's status leading to autonomous reactions improving or maintaining the status to operate adaptively, robustly, anticipatory, and user-friendly. Assisting the operator in handling such complex systems is rather important and requires self-configuration, self-diagnosis, and self-optimization capabilities. In this paper, a new assisted design methodology for sensor and information fusion systems is proposed. It is based on an innovative system architecture consisting of the information fusion system itself, intelligent adaptable sensors, and the communication architecture of the "Intelligent Technical Systems OstWestfalenLippe" (it's OWL) Leading-Edge Cluster project "Intelligent Networking" providing an intelligent network for self-configuration and the required real-time data exchange. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Henning full_name: Trsek, Henning id: '1486' last_name: Trsek - first_name: Lars full_name: Dürkop, Lars last_name: Dürkop - first_name: Volker full_name: Geneiß, Volker last_name: Geneiß - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Mönks U, Trsek H, Dürkop L, Geneiß V, Lohweg V. Assisting the Design of Sensor and Information Fusion Systems. In: 2nd International Conference on System-Integrated Intelligence. Vol 15. Procedia Technology. Bremen; 2014:35-45. doi:https://doi.org/10.1016/j.protcy.2014.09.032' apa: Mönks, U., Trsek, H., Dürkop, L., Geneiß, V., & Lohweg, V. (2014). Assisting the Design of Sensor and Information Fusion Systems. In 2nd International Conference on System-integrated Intelligence (Vol. 15, pp. 35–45). Bremen. https://doi.org/10.1016/j.protcy.2014.09.032 bjps: Mönks U et al. (2014) Assisting the Design of Sensor and Information Fusion Systems. 2nd International Conference on System-Integrated Intelligence, vol. 15. Bremen, pp. 35–45. chicago: Mönks, Uwe, Henning Trsek, Lars Dürkop, Volker Geneiß, and Volker Lohweg. “Assisting the Design of Sensor and Information Fusion Systems.” In 2nd International Conference on System-Integrated Intelligence, 15:35–45. Procedia Technology. Bremen, 2014. https://doi.org/10.1016/j.protcy.2014.09.032. chicago-de: 'Mönks, Uwe, Henning Trsek, Lars Dürkop, Volker Geneiß und Volker Lohweg. 2014. Assisting the Design of Sensor and Information Fusion Systems. In: 2nd International Conference on System-integrated Intelligence, 15:35–45. Procedia Technology. Bremen. doi:https://doi.org/10.1016/j.protcy.2014.09.032, .' din1505-2-1: 'Mönks, Uwe ; Trsek, Henning ; Dürkop, Lars ; Geneiß, Volker ; Lohweg, Volker: Assisting the Design of Sensor and Information Fusion Systems. In: 2nd International Conference on System-integrated Intelligence, Procedia Technology. Bd. 15. Bremen, 2014, S. 35–45' havard: 'U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, V. Lohweg, Assisting the Design of Sensor and Information Fusion Systems, in: 2nd International Conference on System-Integrated Intelligence, Bremen, 2014: pp. 35–45.' ieee: U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, and V. Lohweg, “Assisting the Design of Sensor and Information Fusion Systems,” in 2nd International Conference on System-integrated Intelligence, 2014, vol. 15, pp. 35–45. mla: Mönks, Uwe, et al. “Assisting the Design of Sensor and Information Fusion Systems.” 2nd International Conference on System-Integrated Intelligence, vol. 15, 2014, pp. 35–45, doi:https://doi.org/10.1016/j.protcy.2014.09.032. short: 'U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, V. Lohweg, in: 2nd International Conference on System-Integrated Intelligence, Bremen, 2014, pp. 35–45.' ufg: 'Mönks, Uwe et. al. (2014): Assisting the Design of Sensor and Information Fusion Systems, in: 2nd International Conference on System-integrated Intelligence (=Procedia Technology 15), Bremen, S. 35–45.' van: 'Mönks U, Trsek H, Dürkop L, Geneiß V, Lohweg V. Assisting the Design of Sensor and Information Fusion Systems. In: 2nd International Conference on System-integrated Intelligence. Bremen; 2014. p. 35–45. (Procedia Technology; vol. 15).' date_created: 2019-12-04T09:48:55Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: https://doi.org/10.1016/j.protcy.2014.09.032 intvolume: ' 15' language: - iso: eng main_file_link: - open_access: '1' url: https://pdf.sciencedirectassets.com/282073/1-s2.0-S2212017314X00058/1-s2.0-S2212017314001479/main.pdf?X-Amz-Security-Token=IQoJb3JpZ2luX2VjEPn%2F%2F%2F%2F%2F%2F%2F%2F%2F%2FwEaCXVzLWVhc3QtMSJHMEUCIGIe7%2F5zncym9pR8cX4qmMNOUT%2FZIdLCI%2BxGI45FrjJIAiEAk6wKEeYxhTFqdQ2wonoGOXDk2rG5poEF644xs7vnLykq0AIIQhACGgwwNTkwMDM1NDY4NjUiDHXgN9QHtF1f%2FG%2FhLiqtAqrYPLg6w2%2F464tAFL1z6SJxq6YGGx1%2FseW%2Fggz0wNYn6uL9bTdorDrfKp6HWMBqlmENIVqjlal5w1%2F0yJpoj0aMAE377rbFURhIs5WFaTiH49MSY1RweIPrkEPlgfHOPuVFPjzGU1K2hiALoVQ9KIBvx8yBUclSCpX41Fi5iX%2BYFfzOd1839CXh9O6UPwomaFhBimkUWSjtdC%2BwU%2BCMJCPSbv3hD5mHZVADQm6gSYFf4b4TGqHnAvPaIxeQNrei3lQnR%2FS%2BTOVJB%2BmcssT92FqYR6hvBLCAyuQP9jADOLoUD%2BGRDvfnR81bszYEhBTKFQr6DlXNqukWz5l5tUH7vPKS8ek%2BikXsldxjiqkLBMS71iO2VTWy23HfLywnqynvmksSi6gCVsEtKLuQr3Uwvtqd7wU6zwKSOL8nuXDYSf63S%2BHLUmgL9p1hbOfItm%2F3TmxMONC2n7VY6JehDW5PUIT30kU71i9Op2PIXOK%2Btdy3LeD8Rir1QFluQat9GPwJrV2Ta5EUTk1ybPTze36AGXbylprRZz%2BKfBL58qK%2B2QbmOdeBRUlOf8j879NyJtvJMwqZORguT9%2F3qgXvuermyObv%2Fc%2FsF5PPachoZ11gYFVtmW%2F5625yf656V2Q15VR85R2ZfOiBuJ7mOZR8lykL2d7azUCyNv25Ay5vy%2BTRZobIUZurnSDQ7yYIT%2BGB2J4%2BNctBhpPwW%2FiqYVVNMhwYlFWKGORN1bfspIT12siZVeStQL6GBHGMU5r%2Bru%2FvFkWDN%2FD28rZuNGH321ltxoRjYjQ2k0V9aJC1bezN0YDPqw0hKGn6tKiqhhkVU6sEHTxIzOpyyPwZgqw8gcymUTb%2Bv1Dv5XVk9A%3D%3D&X-Amz-Algorithm=AWS4-HMAC-SHA256&X-Amz-Date=20191204T095049Z&X-Amz-SignedHeaders=host&X-Amz-Expires=300&X-Amz-Credential=ASIAQ3PHCVTYTLYSX5WP%2F20191204%2Fus-east-1%2Fs3%2Faws4_request&X-Amz-Signature=a5dac52cd14f599711cba2ec98375da0b1ba080b6dddccc4dfabf1f861277270&hash=b19be3f7d8f6b29f2ec9f5b448d49d6be98df708f6be1da606ed8d2d9ff9c428&host=68042c943591013ac2b2430a89b270f6af2c76d8dfd086a07176afe7c76c2c61&pii=S2212017314001479&tid=spdf-ce59b765-4c8e-4e59-882f-0ffe01b7900a&sid=aac1a6434e44304ad229aa9612f35249cc20gxrqb&type=client oa: '1' page: 35-45 place: Bremen publication: 2nd International Conference on System-integrated Intelligence publication_identifier: issn: - 2212-0173 publication_status: published series_title: Procedia Technology status: public title: Assisting the Design of Sensor and Information Fusion Systems type: conference user_id: '45673' volume: 15 year: 2014 ... --- _id: '2157' abstract: - lang: eng text: 'Information fusion systems are crucial for the success of the upcoming fourth industrial revolution. In this emerging field, cyber-physicals systems play a major role. These are physical processing systems equipped with sensory devices which interconnect over communication networks for distributed cognitive information processing applications. Cyber-physical systems are generally limited in computational resources. Due to this fact, signal processing algorithms cannot be implemented one-to-one. Instead, efforts must be spent in algorithm optimisation towards resource efficiency and reduced computational complexity. In this contribution, we present our optimisation approach by matrix decomposition of an evidence-based conflict-reducing fusion approach which after optimisation is applicable in resource-limited devices for cognitive signal processing. We evaluate the results by comparison with the algorithm''s original definition and show the improvements achieved. ' author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Mönks U, Lohweg V. Fast Evidence-based Information Fusion. In: 4th Internation Workshop on Cognitive Information. Copenhagen, Denmark; 2014. doi: 10.1109/CIP.2014.6844508' apa: Mönks, U., & Lohweg, V. (2014). Fast Evidence-based Information Fusion. In 4th Internation Workshop on Cognitive Information. Copenhagen, Denmark. https://doi.org/ 10.1109/CIP.2014.6844508 bjps: Mönks U and Lohweg V (2014) Fast Evidence-Based Information Fusion. 4th Internation Workshop on Cognitive Information. Copenhagen, Denmark. chicago: Mönks, Uwe, and Volker Lohweg. “Fast Evidence-Based Information Fusion.” In 4th Internation Workshop on Cognitive Information. Copenhagen, Denmark, 2014. https://doi.org/ 10.1109/CIP.2014.6844508. chicago-de: 'Mönks, Uwe und Volker Lohweg. 2014. Fast Evidence-based Information Fusion. In: 4th Internation Workshop on Cognitive Information. Copenhagen, Denmark. doi: 10.1109/CIP.2014.6844508, .' din1505-2-1: 'Mönks, Uwe ; Lohweg, Volker: Fast Evidence-based Information Fusion. In: 4th Internation Workshop on Cognitive Information. Copenhagen, Denmark, 2014' havard: 'U. Mönks, V. Lohweg, Fast Evidence-based Information Fusion, in: 4th Internation Workshop on Cognitive Information, Copenhagen, Denmark, 2014.' ieee: U. Mönks and V. Lohweg, “Fast Evidence-based Information Fusion,” in 4th Internation Workshop on Cognitive Information, 2014. mla: Mönks, Uwe, and Volker Lohweg. “Fast Evidence-Based Information Fusion.” 4th Internation Workshop on Cognitive Information, 2014, doi: 10.1109/CIP.2014.6844508. short: 'U. Mönks, V. Lohweg, in: 4th Internation Workshop on Cognitive Information, Copenhagen, Denmark, 2014.' ufg: 'Mönks, Uwe/Lohweg, Volker (2014): Fast Evidence-based Information Fusion, in: 4th Internation Workshop on Cognitive Information, Copenhagen, Denmark.' van: 'Mönks U, Lohweg V. Fast Evidence-based Information Fusion. In: 4th Internation Workshop on Cognitive Information. Copenhagen, Denmark; 2014.' date_created: 2019-12-04T10:09:57Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: ' 10.1109/CIP.2014.6844508' language: - iso: eng place: Copenhagen, Denmark publication: 4th Internation Workshop on Cognitive Information publication_identifier: eisbn: - '978-1-4799-3696-0 ' eissn: - '2327-1698 ' publication_status: published status: public title: Fast Evidence-based Information Fusion type: conference user_id: '45673' year: 2014 ... --- _id: '2159' abstract: - lang: eng text: In this contribution we show enhancements of the safety of hazardous material stores by the usage of a condition monitoring system. Hazardous material stores function as a store for dangerous chemicals. We use fire simulations to simulate a fire and use the results of this simulation in our condition monitoring system in order to show the attainable gains. The used condition monitoring system utilises multiple sensors which are distributed inside and outside of the hazardous material store. The values of the sensors are combined over multiple levels into one state for the complete system. This allows us to significantly enhance the detection time of dangerous operating states, compared to the use of dedicated single sensors. author: - first_name: Jan-Friedrich full_name: Ehlenbröker, Jan-Friedrich id: '1852' last_name: Ehlenbröker - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Derk full_name: Wesemann, Derk id: '1273' last_name: Wesemann - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Ehlenbröker J-F, Mönks U, Wesemann D, Lohweg V. Condition monitoring for hazardous material storage. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). ; 2014. doi:10.1109/etfa.2014.7005264' apa: Ehlenbröker, J.-F., Mönks, U., Wesemann, D., & Lohweg, V. (2014). Condition monitoring for hazardous material storage. In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). https://doi.org/10.1109/etfa.2014.7005264 bjps: Ehlenbröker J-F et al. (2014) Condition Monitoring for Hazardous Material Storage. Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). chicago: Ehlenbröker, Jan-Friedrich, Uwe Mönks, Derk Wesemann, and Volker Lohweg. “Condition Monitoring for Hazardous Material Storage.” In Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014. https://doi.org/10.1109/etfa.2014.7005264. chicago-de: 'Ehlenbröker, Jan-Friedrich, Uwe Mönks, Derk Wesemann und Volker Lohweg. 2014. Condition monitoring for hazardous material storage. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). doi:10.1109/etfa.2014.7005264, .' din1505-2-1: 'Ehlenbröker, Jan-Friedrich ; Mönks, Uwe ; Wesemann, Derk ; Lohweg, Volker: Condition monitoring for hazardous material storage. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014' havard: 'J.-F. Ehlenbröker, U. Mönks, D. Wesemann, V. Lohweg, Condition monitoring for hazardous material storage, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014.' ieee: J.-F. Ehlenbröker, U. Mönks, D. Wesemann, and V. Lohweg, “Condition monitoring for hazardous material storage,” in Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014. mla: Ehlenbröker, Jan-Friedrich, et al. “Condition Monitoring for Hazardous Material Storage.” Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014, doi:10.1109/etfa.2014.7005264. short: 'J.-F. Ehlenbröker, U. Mönks, D. Wesemann, V. Lohweg, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA), 2014.' ufg: 'Ehlenbröker, Jan-Friedrich et. al. (2014): Condition monitoring for hazardous material storage, in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA).' van: 'Ehlenbröker J-F, Mönks U, Wesemann D, Lohweg V. Condition monitoring for hazardous material storage. In: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA). 2014.' date_created: 2019-12-04T10:16:11Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: 10.1109/etfa.2014.7005264 language: - iso: eng publication: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) publication_identifier: isbn: - ' 978-1-4799-4845-1' publication_status: published status: public title: Condition monitoring for hazardous material storage type: conference user_id: '68554' year: 2014 ... --- _id: '2161' author: - first_name: Helene full_name: Dörksen, Helene id: '46416' last_name: Dörksen - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Dörksen H, Mönks U, Lohweg V. Fast Classification in Industrial Big Data Environments. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain; 2014.' apa: Dörksen, H., Mönks, U., & Lohweg, V. (2014). Fast Classification in Industrial Big Data Environments. In 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain. bjps: Dörksen H, Mönks U and Lohweg V (2014) Fast Classification in Industrial Big Data Environments. 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain. chicago: Dörksen, Helene, Uwe Mönks, and Volker Lohweg. “Fast Classification in Industrial Big Data Environments.” In 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain, 2014. chicago-de: 'Dörksen, Helene, Uwe Mönks und Volker Lohweg. 2014. Fast Classification in Industrial Big Data Environments. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain.' din1505-2-1: 'Dörksen, Helene ; Mönks, Uwe ; Lohweg, Volker: Fast Classification in Industrial Big Data Environments. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain, 2014' havard: 'H. Dörksen, U. Mönks, V. Lohweg, Fast Classification in Industrial Big Data Environments, in: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Spain, 2014.' ieee: H. Dörksen, U. Mönks, and V. Lohweg, “Fast Classification in Industrial Big Data Environments,” in 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, 2014. mla: Dörksen, Helene, et al. “Fast Classification in Industrial Big Data Environments.” 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, 2014. short: 'H. Dörksen, U. Mönks, V. Lohweg, in: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Spain, 2014.' ufg: 'Dörksen, Helene et. al. (2014): Fast Classification in Industrial Big Data Environments, in: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona, Spain.' van: 'Dörksen H, Mönks U, Lohweg V. Fast Classification in Industrial Big Data Environments. In: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona. Spain; 2014.' date_created: 2019-12-04T10:18:42Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 language: - iso: eng place: Spain publication: 19th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) Barcelona status: public title: Fast Classification in Industrial Big Data Environments type: conference user_id: '45673' year: 2014 ... --- _id: '2164' author: - first_name: Richard full_name: Neumann, Richard last_name: Neumann - first_name: Alexander full_name: Dicks, Alexander id: '1853' last_name: Dicks - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Neumann R, Dicks A, Mönks U, Lohweg V. Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien. In: 24. Workshop Computational Intelligence. Dortmund: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2014:315-332.' apa: 'Neumann, R., Dicks, A., Mönks, U., & Lohweg, V. (2014). Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien. In 24. Workshop Computational Intelligence (pp. 315–332). Dortmund: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' bjps: 'Neumann R et al. (2014) Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien. 24. Workshop Computational Intelligence. Dortmund: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), pp. 315–332.' chicago: 'Neumann, Richard, Alexander Dicks, Uwe Mönks, and Volker Lohweg. “Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien.” In 24. Workshop Computational Intelligence, 315–32. Dortmund: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2014.' chicago-de: 'Neumann, Richard, Alexander Dicks, Uwe Mönks und Volker Lohweg. 2014. Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien. In: 24. Workshop Computational Intelligence, 315–332. Dortmund: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' din1505-2-1: 'Neumann, Richard ; Dicks, Alexander ; Mönks, Uwe ; Lohweg, Volker: Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien. In: 24. Workshop Computational Intelligence. Dortmund : VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2014, S. 315–332' havard: 'R. Neumann, A. Dicks, U. Mönks, V. Lohweg, Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien, in: 24. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, 2014: pp. 315–332.' ieee: R. Neumann, A. Dicks, U. Mönks, and V. Lohweg, “Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien,” in 24. Workshop Computational Intelligence, 2014, pp. 315–332. mla: Neumann, Richard, et al. “Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien.” 24. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2014, pp. 315–32. short: 'R. Neumann, A. Dicks, U. Mönks, V. Lohweg, in: 24. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Dortmund, 2014, pp. 315–332.' ufg: 'Neumann, Richard et. al. (2014): Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien, in: 24. Workshop Computational Intelligence, Dortmund, S. 315–332.' van: 'Neumann R, Dicks A, Mönks U, Lohweg V. Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien. In: 24 Workshop Computational Intelligence. Dortmund: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2014. p. 315–32.' date_created: 2019-12-04T10:23:15Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 language: - iso: ger main_file_link: - open_access: '1' url: https://publikationen.bibliothek.kit.edu/1000043427/3301103 oa: '1' page: 315-332 place: Dortmund publication: 24. Workshop Computational Intelligence publication_identifier: isbn: - 978-3-7315-0275-3 publication_status: published publisher: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) status: public title: Fuzzy Pattern Klassifikation von Datensätzen mit nichtkonvexen Objektmorphologien type: conference user_id: '45673' year: 2014 ... --- _id: '2135' abstract: - lang: ger text: Eine Zustandsüberwachung elektrischer Antriebe erfolgt derzeit in der Regel durch Einsatz spezieller Sensorik, bspw. durch Vibrationsmessungen. Außerdem werden die Antriebe lediglich isoliert betrachtet, eine Zusammenführung anfallender Informationen eines räumlich verteilten Antriebsverbunds findet meist nicht statt. Es wird ein neuartiges Motor-as-Sensor-Konzept vorgeschlagen und validiert, das eine antizipatorische Zustandsüberwachung ohne Einsatz zusätzlicher Sensorik allein durch Verarbeitung der phasenbezogenen Motorströme ermöglicht. Zusätzlich wird ein Informationsfusionskonzept vorgestellt, das die Informationen aller im Verbund beteiligten Antriebe zusammenführt, um darüber eine mit weniger Unsicherheiten behaftete Aussage über den Zustand einer Applikation herbeizuführen. Das Hauptaugenmerk liegt hierbei insbesondere auf der Beherrschung der anfallenden riesigen Datenmengen. die zur Verarbeitung in eingebetteten Systemen reduziert werden müssen. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Martyna full_name: Bator, Martyna id: '46440' last_name: Bator - first_name: Alexander full_name: Dicks, Alexander id: '1853' last_name: Dicks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: Mönks U, Bator M, Dicks A, Lohweg V. Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau. Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn). 2013;9. Paderborner Workshop Entwurf mechatronischer Systeme:305-315. apa: Mönks, U., Bator, M., Dicks, A., & Lohweg, V. (2013). Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau. Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn), 9. Paderborner Workshop Entwurf mechatronischer Systeme, 305–315. bjps: Mönks U et al. (2013) Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau. Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn) 9. Paderborner Workshop Entwurf mechatronischer Systeme, 305–315. chicago: 'Mönks, Uwe, Martyna Bator, Alexander Dicks, and Volker Lohweg. “Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau.” Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn) 9. Paderborner Workshop Entwurf mechatronischer Systeme (2013): 305–15.' chicago-de: 'Mönks, Uwe, Martyna Bator, Alexander Dicks und Volker Lohweg. 2013. Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau. Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn) 9. Paderborner Workshop Entwurf mechatronischer Systeme: 305–315.' din1505-2-1: 'Mönks, Uwe ; Bator, Martyna ; Dicks, Alexander ; Lohweg, Volker: Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau. In: Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn) Bd. 9. Paderborner Workshop Entwurf mechatronischer Systeme. Paderborn, Universität Paderborn (2013), S. 305–315' havard: U. Mönks, M. Bator, A. Dicks, V. Lohweg, Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau, Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn). 9. Paderborner Workshop Entwurf mechatronischer Systeme (2013) 305–315. ieee: U. Mönks, M. Bator, A. Dicks, and V. Lohweg, “Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau,” Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn), vol. 9. Paderborner Workshop Entwurf mechatronischer Systeme, pp. 305–315, 2013. mla: Mönks, Uwe, et al. “Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau.” Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn), vol. 9. Paderborner Workshop Entwurf mechatronischer Systeme, Universität Paderborn, 2013, pp. 305–15. short: U. Mönks, M. Bator, A. Dicks, V. Lohweg, Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn) 9. Paderborner Workshop Entwurf mechatronischer Systeme (2013) 305–315. ufg: 'Mönks, Uwe et. al. (2013): Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau, in: Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn) 9. Paderborner Workshop Entwurf mechatronischer Systeme, S. 305–315.' van: Mönks U, Bator M, Dicks A, Lohweg V. Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau. Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn). 2013;9. Paderborner Workshop Entwurf mechatronischer Systeme:305–15. date_created: 2019-12-04T09:21:33Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 language: - iso: ger page: 305-315 place: Paderborn publication: Wissenschaftsforum Intelligente Technische Systeme (Heinz Nixdorf Institut, Paderborn) publication_identifier: isbn: - 978-3-942647-29-8 publication_status: published publisher: Universität Paderborn status: public title: Informationsfusion mit verteilter elektromotorischer Sensorik im Maschinen- und Anlagenbau type: journal_article user_id: '45673' volume: 9. Paderborner Workshop Entwurf mechatronischer Systeme year: 2013 ... --- _id: '2137' abstract: - lang: eng text: Systems for process automation become increasingly complex and also tend to be composed of autonomous subsystems, which is strongly driven by the progress made in information technology. An active field of research is the implementation of monitoring and control at sub-system level using cognitive approaches. In this paper we present a method for autonomous and sensorless condition monitoring of an electric drive train. Based on experiment design we measured phase currents of a physical demonstrator device including mechanical defects and extracted signal features using proper orthogonal decomposition. In favor of classification of different defect states we performed a linear discriminant analysis, which yields appropriate data for a Fuzzy-Pattern-Classification algorithm. As a result we were able to identify different reference defect states as well as previously unknown states. author: - first_name: Christian full_name: Bayer, Christian last_name: Bayer - first_name: Martyna full_name: Bator, Martyna id: '46440' last_name: Bator - first_name: Olaf full_name: Enge-Rosenblatt, Olaf last_name: Enge-Rosenblatt - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Alexander full_name: Dicks, Alexander id: '1853' last_name: Dicks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Bayer C, Bator M, Enge-Rosenblatt O, Mönks U, Dicks A, Lohweg V. Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction. In: Cagliari, Italy: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA); 2013. doi: 10.1109/ETFA.2013.6648126' apa: 'Bayer, C., Bator, M., Enge-Rosenblatt, O., Mönks, U., Dicks, A., & Lohweg, V. (2013). Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction. Cagliari, Italy: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). https://doi.org/ 10.1109/ETFA.2013.6648126' bjps: 'Bayer C et al. (2013) Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction. Cagliari, Italy: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA).' chicago: 'Bayer, Christian, Martyna Bator, Olaf Enge-Rosenblatt, Uwe Mönks, Alexander Dicks, and Volker Lohweg. “Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction.” Cagliari, Italy: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2013. https://doi.org/ 10.1109/ETFA.2013.6648126.' chicago-de: 'Bayer, Christian, Martyna Bator, Olaf Enge-Rosenblatt, Uwe Mönks, Alexander Dicks und Volker Lohweg. 2013. Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction. In: . Cagliari, Italy: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). doi: 10.1109/ETFA.2013.6648126, .' din1505-2-1: 'Bayer, Christian ; Bator, Martyna ; Enge-Rosenblatt, Olaf ; Mönks, Uwe ; Dicks, Alexander ; Lohweg, Volker: Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction. In: . Cagliari, Italy : 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2013' havard: 'C. Bayer, M. Bator, O. Enge-Rosenblatt, U. Mönks, A. Dicks, V. Lohweg, Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction., in: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.' ieee: C. Bayer, M. Bator, O. Enge-Rosenblatt, U. Mönks, A. Dicks, and V. Lohweg, “Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction.,” 2013. mla: Bayer, Christian, et al. Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2013, doi: 10.1109/ETFA.2013.6648126. short: 'C. Bayer, M. Bator, O. Enge-Rosenblatt, U. Mönks, A. Dicks, V. Lohweg, in: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.' ufg: 'Bayer, Christian et. al. (2013): Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction., in: , Cagliari, Italy.' van: 'Bayer C, Bator M, Enge-Rosenblatt O, Mönks U, Dicks A, Lohweg V. Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction. In Cagliari, Italy: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA); 2013.' date_created: 2019-12-04T09:25:43Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: ' 10.1109/ETFA.2013.6648126' language: - iso: eng main_file_link: - open_access: '1' url: http://publica.fraunhofer.de/eprints/urn_nbn_de_0011-n-2666279.pdf oa: '1' place: Cagliari, Italy publication_identifier: eisbn: - 978-1-4799-0864-6 isbn: - 978-1-4799-0862-2 publication_status: published publisher: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) status: public title: Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction. type: conference user_id: '45673' year: 2013 ... --- _id: '2141' abstract: - lang: eng text: Sensor and information fusion is recently a major topic which becomes important in machine diagnosis and conditioning for complex production machines and process engineering. It is a known fact that distributed automation systems have a major impact on signal processing and pattern recognition for machine diagnosis. Therefore, it is necessary to research and develop smart diagnosis methods which are applicable for distributed systems like resource-limited cyber-physical systems. In this paper we propose an new approach for sensor and information fusion based on Evidence Theory and socio-psychological decision-making. We show that context based condition monitoring is instantiated even in conflict situations, oc-curing in real life scenarios permanently. A simple but effective importance measure is proposed which controls the significance of conditioning propositions in a system. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information Fusion. In: IEEE, ed. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy; 2013. doi:10.1109/ETFA.2013.6647984' apa: Mönks, U., & Lohweg, V. (2013). Machine Conditioning by Importance Controlled Information Fusion. In IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy. https://doi.org/10.1109/ETFA.2013.6647984 bjps: Mönks U and Lohweg V (2013) Machine Conditioning by Importance Controlled Information Fusion. In IEEE (ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy. chicago: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled Information Fusion.” In 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE. Cagliari, Italy, 2013. https://doi.org/10.1109/ETFA.2013.6647984. chicago-de: 'Mönks, Uwe und Volker Lohweg. 2013. Machine Conditioning by Importance Controlled Information Fusion. In: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), hg. von IEEE. Cagliari, Italy. doi:10.1109/ETFA.2013.6647984, .' din1505-2-1: 'Mönks, Uwe ; Lohweg, Volker: Machine Conditioning by Importance Controlled Information Fusion. In: IEEE (Hrsg.): 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy, 2013' havard: 'U. Mönks, V. Lohweg, Machine Conditioning by Importance Controlled Information Fusion, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.' ieee: U. Mönks and V. Lohweg, “Machine Conditioning by Importance Controlled Information Fusion,” in 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2013. mla: Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled Information Fusion.” 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), edited by IEEE, 2013, doi:10.1109/ETFA.2013.6647984. short: 'U. Mönks, V. Lohweg, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.' ufg: 'Mönks, Uwe/Lohweg, Volker (2013): Machine Conditioning by Importance Controlled Information Fusion, in: IEEE (Hg.): 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy.' van: 'Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information Fusion. In: IEEE, editor. 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA). Cagliari, Italy; 2013.' corporate_editor: - IEEE date_created: 2019-12-04T09:30:15Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: 10.1109/ETFA.2013.6647984 keyword: - Decision making - Robot sensing systems - Reliability - Production - Context - Fuzzy set theory - Data integration language: - iso: eng place: Cagliari, Italy publication: 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA) publication_identifier: eisbn: - 978-1-4799-0864-6 eissn: - '1946-0759 ' isbn: - 978-1-4799-0862-2 issn: - '1946-0740 ' publication_status: published status: public title: Machine Conditioning by Importance Controlled Information Fusion type: conference user_id: '45673' year: 2013 ... --- _id: '2142' abstract: - lang: ger text: Die aktive Zustandsüberwachung von Automatisierungssystemen rückt immer weiter in den Vordergrund und ist daher ein zentraler Forschungsgegenstand. In diesem Beitrag werden Ansätze der sensorlosen Überwachung eines Synchronmotors diskutiert. Basierend auf Messungen der Phasenströme des Motors werden mit der Hilbert-Transformation bzw. mit der Empirical Mode Decomposition charakteristische Merkmale aus den Signalen berechnet. Anschließend werden diese mittels Hauptkomponentenanalyse bzw. der linearen Diskriminanzanalyse reduziert. Die daraus berechneten Charakteristischen Merkmale dienen als Grundlage für die abschließende Fuzzy-Pattern-Klassifikation. Basierend auf dem erläuterten Ansatz ist die Identifikation typischer Betriebs- bzw. Fehlerzustände, aber auch das Erkennen nicht gelernter Zustände möglich. Das dabei vorgestellte Vorgehen ist vergleichsweise generisch und lässt sich gut auf andere Anwendungsgebiete übertragen. author: - first_name: Fabian full_name: Paschke, Fabian last_name: Paschke - first_name: Christian full_name: Bayer, Christian last_name: Bayer - first_name: Martyna full_name: Bator, Martyna id: '46440' last_name: Bator - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Alexander full_name: Dicks, Alexander id: '1853' last_name: Dicks - first_name: Olaf full_name: Enge-Rosenblatt, Olaf last_name: Enge-Rosenblatt - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Paschke F, Bayer C, Bator M, et al. Sensorlose Zustandsüberwachung an Synchronmotoren. In: Hoffmann F, ed. 23. Workshop Computational Intelligence 2013. Proceedings. Vol 46. Karlsruher Institut für Technologie, Institut für Angewandte Informatik, Automatisierungstechnik. Schriftenreihe. Karlsruhe: KIT Scientific Publishing; 2013:211-225.' apa: 'Paschke, F., Bayer, C., Bator, M., Mönks, U., Dicks, A., Enge-Rosenblatt, O., & Lohweg, V. (2013). Sensorlose Zustandsüberwachung an Synchronmotoren. In F. Hoffmann (Ed.), 23. Workshop Computational Intelligence 2013. Proceedings (Vol. 46, pp. 211–225). Karlsruhe: KIT Scientific Publishing.' bjps: 'Paschke F et al. (2013) Sensorlose Zustandsüberwachung an Synchronmotoren. In Hoffmann F (ed.), 23. Workshop Computational Intelligence 2013. Proceedings, vol. 46. Karlsruhe: KIT Scientific Publishing, pp. 211–225.' chicago: 'Paschke, Fabian, Christian Bayer, Martyna Bator, Uwe Mönks, Alexander Dicks, Olaf Enge-Rosenblatt, and Volker Lohweg. “Sensorlose Zustandsüberwachung an Synchronmotoren.” In 23. Workshop Computational Intelligence 2013. Proceedings, edited by F. Hoffmann, 46:211–25. Karlsruher Institut für Technologie, Institut für Angewandte Informatik, Automatisierungstechnik. Schriftenreihe. Karlsruhe: KIT Scientific Publishing, 2013.' chicago-de: 'Paschke, Fabian, Christian Bayer, Martyna Bator, Uwe Mönks, Alexander Dicks, Olaf Enge-Rosenblatt und Volker Lohweg. 2013. Sensorlose Zustandsüberwachung an Synchronmotoren. In: 23. Workshop Computational Intelligence 2013. Proceedings, hg. von F. Hoffmann, 46:211–225. Karlsruher Institut für Technologie, Institut für Angewandte Informatik, Automatisierungstechnik. Schriftenreihe. Karlsruhe: KIT Scientific Publishing.' din1505-2-1: 'Paschke, Fabian ; Bayer, Christian ; Bator, Martyna ; Mönks, Uwe ; Dicks, Alexander ; Enge-Rosenblatt, Olaf ; Lohweg, Volker: Sensorlose Zustandsüberwachung an Synchronmotoren. In: Hoffmann, F. (Hrsg.): 23. Workshop Computational Intelligence 2013. Proceedings, Karlsruher Institut für Technologie, Institut für Angewandte Informatik, Automatisierungstechnik. Schriftenreihe. Bd. 46. Karlsruhe : KIT Scientific Publishing, 2013, S. 211–225' havard: 'F. Paschke, C. Bayer, M. Bator, U. Mönks, A. Dicks, O. Enge-Rosenblatt, V. Lohweg, Sensorlose Zustandsüberwachung an Synchronmotoren., in: F. Hoffmann (Ed.), 23. Workshop Computational Intelligence 2013. Proceedings, KIT Scientific Publishing, Karlsruhe, 2013: pp. 211–225.' ieee: F. Paschke et al., “Sensorlose Zustandsüberwachung an Synchronmotoren.,” in 23. Workshop Computational Intelligence 2013. Proceedings, Dortmund, 2013, vol. 46, pp. 211–225. mla: Paschke, Fabian, et al. “Sensorlose Zustandsüberwachung an Synchronmotoren.” 23. Workshop Computational Intelligence 2013. Proceedings, edited by F. Hoffmann, vol. 46, KIT Scientific Publishing, 2013, pp. 211–25. short: 'F. Paschke, C. Bayer, M. Bator, U. Mönks, A. Dicks, O. Enge-Rosenblatt, V. Lohweg, in: F. Hoffmann (Ed.), 23. Workshop Computational Intelligence 2013. Proceedings, KIT Scientific Publishing, Karlsruhe, 2013, pp. 211–225.' ufg: 'Paschke, Fabian et. al. (2013): Sensorlose Zustandsüberwachung an Synchronmotoren., in: F. Hoffmann (Hg.): 23. Workshop Computational Intelligence 2013. Proceedings (=Karlsruher Institut für Technologie, Institut für Angewandte Informatik, Automatisierungstechnik. Schriftenreihe 46), Karlsruhe, S. 211–225.' van: 'Paschke F, Bayer C, Bator M, Mönks U, Dicks A, Enge-Rosenblatt O, et al. Sensorlose Zustandsüberwachung an Synchronmotoren. In: Hoffmann F, editor. 23 Workshop Computational Intelligence 2013 Proceedings. Karlsruhe: KIT Scientific Publishing; 2013. p. 211–25. (Karlsruher Institut für Technologie, Institut für Angewandte Informatik, Automatisierungstechnik. Schriftenreihe; vol. 46).' conference: end_date: 2013-12-06 location: Dortmund name: 23. Workshop Computational Intelligence 2013. Proceedings start_date: 2013-12-05 date_created: 2019-12-04T09:35:47Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 editor: - first_name: F. full_name: Hoffmann, F. last_name: Hoffmann intvolume: ' 46' language: - iso: ger main_file_link: - open_access: '1' url: http://publica.fraunhofer.de/eprints/urn_nbn_de_0011-n-2754970.pdf oa: '1' page: 211-225 place: Karlsruhe publication: 23. Workshop Computational Intelligence 2013. Proceedings publication_identifier: isbn: - 978-3-7315-0126-8 publication_status: published publisher: KIT Scientific Publishing series_title: Karlsruher Institut für Technologie, Institut für Angewandte Informatik, Automatisierungstechnik. Schriftenreihe status: public title: Sensorlose Zustandsüberwachung an Synchronmotoren. type: conference user_id: '45673' volume: 46 year: 2013 ... --- _id: '2144' author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Steffen full_name: Priesterjahn, Steffen last_name: Priesterjahn - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Mönks U, Priesterjahn S, Lohweg V. Automated Fusion Attribute Generation for Conditioning Monitoring. In: 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), Düsseldorf . Vol 46. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie . Karlsruhe: KIT Scientific Publishing; 2013:339-354. doi:DOI: 10.5445/KSP/1000036887 ' apa: 'Mönks, U., Priesterjahn, S., & Lohweg, V. (2013). Automated Fusion Attribute Generation for Conditioning Monitoring. In 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf (Vol. 46, pp. 339–354). Karlsruhe: KIT Scientific Publishing. https://doi.org/DOI: 10.5445/KSP/1000036887 ' bjps: 'Mönks U, Priesterjahn S and Lohweg V (2013) Automated Fusion Attribute Generation for Conditioning Monitoring. 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), Düsseldorf , vol. 46. Karlsruhe: KIT Scientific Publishing, pp. 339–354.' chicago: 'Mönks, Uwe, Steffen Priesterjahn, and Volker Lohweg. “Automated Fusion Attribute Generation for Conditioning Monitoring.” In 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), Düsseldorf , 46:339–54. Schriftenreihe Des Instituts Für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut Für Technologie . Karlsruhe: KIT Scientific Publishing, 2013. https://doi.org/DOI: 10.5445/KSP/1000036887 .' chicago-de: 'Mönks, Uwe, Steffen Priesterjahn und Volker Lohweg. 2013. Automated Fusion Attribute Generation for Conditioning Monitoring. In: 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf , 46:339–354. Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie . Karlsruhe: KIT Scientific Publishing. doi:DOI: 10.5445/KSP/1000036887 , .' din1505-2-1: 'Mönks, Uwe ; Priesterjahn, Steffen ; Lohweg, Volker: Automated Fusion Attribute Generation for Conditioning Monitoring. In: 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf , Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie . Bd. 46. Karlsruhe : KIT Scientific Publishing, 2013, S. 339–354' havard: 'U. Mönks, S. Priesterjahn, V. Lohweg, Automated Fusion Attribute Generation for Conditioning Monitoring., in: 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), Düsseldorf , KIT Scientific Publishing, Karlsruhe, 2013: pp. 339–354.' ieee: U. Mönks, S. Priesterjahn, and V. Lohweg, “Automated Fusion Attribute Generation for Conditioning Monitoring.,” in 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf , 2013, vol. 46, pp. 339–354. mla: 'Mönks, Uwe, et al. “Automated Fusion Attribute Generation for Conditioning Monitoring.” 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), Düsseldorf , vol. 46, KIT Scientific Publishing, 2013, pp. 339–54, doi:DOI: 10.5445/KSP/1000036887 .' short: 'U. Mönks, S. Priesterjahn, V. Lohweg, in: 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- Und Automatisierungstechnik (GMA), Düsseldorf , KIT Scientific Publishing, Karlsruhe, 2013, pp. 339–354.' ufg: 'Mönks, Uwe et. al. (2013): Automated Fusion Attribute Generation for Conditioning Monitoring., in: 23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf (=Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie 46), Karlsruhe, S. 339–354.' van: 'Mönks U, Priesterjahn S, Lohweg V. Automated Fusion Attribute Generation for Conditioning Monitoring. In: 23 Workshop Computational Intelligence, 05-06122013, Dortmund VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf . Karlsruhe: KIT Scientific Publishing; 2013. p. 339–54. (Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie ; vol. 46).' date_created: 2019-12-04T09:42:45Z date_updated: 2023-03-15T13:49:39Z department: - _id: DEP5023 doi: 'DOI: 10.5445/KSP/1000036887 ' intvolume: ' 46' language: - iso: eng main_file_link: - open_access: '1' url: https://publikationen.bibliothek.kit.edu/1000036887 oa: '1' page: 339-354 place: Karlsruhe publication: '23. Workshop Computational Intelligence, 05.-06.12.2013, Dortmund VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf ' publication_identifier: isbn: - 978-3-7315-0126-8 issn: - 1614-5267 publisher: KIT Scientific Publishing series_title: 'Schriftenreihe des Instituts für Angewandte Informatik - Automatisierungstechnik, Karlsruher Institut für Technologie ' status: public title: Automated Fusion Attribute Generation for Conditioning Monitoring. type: conference user_id: '45673' volume: 46 year: 2013 ... --- _id: '2107' abstract: - lang: eng text: In this paper we propose a novel, extended perspective on evidential aggregation rules in machine condition monitoring. First, aspects regarding the interconnections between Dempster-Shafer, Fuzzy Set, and Possibility Theory are shown. Subsequently, a novel approach for direct determination of basic probability assignments using Fuzzy membership functions is proposed. Finally, it is applied to a pipe extrusion line's condition monitoring system, considering and reducing pairwise conflicts. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Karl full_name: Voth, Karl last_name: Voth - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. ; 2012. doi:10.1109/CIP.2012.6232905' apa: Mönks, U., Voth, K., & Lohweg, V. (2012). An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. https://doi.org/10.1109/CIP.2012.6232905 bjps: Mönks U, Voth K and Lohweg V (2012) An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. chicago: Mönks, Uwe, Karl Voth, and Volker Lohweg. “An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning.” In IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012. https://doi.org/10.1109/CIP.2012.6232905. chicago-de: 'Mönks, Uwe, Karl Voth und Volker Lohweg. 2012. An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. doi:10.1109/CIP.2012.6232905, .' din1505-2-1: 'Mönks, Uwe ; Voth, Karl ; Lohweg, Volker: An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012' havard: 'U. Mönks, K. Voth, V. Lohweg, An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012.' ieee: U. Mönks, K. Voth, and V. Lohweg, “An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning,” in IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012. mla: Mönks, Uwe, et al. “An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning.” IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012, doi:10.1109/CIP.2012.6232905. short: 'U. Mönks, K. Voth, V. Lohweg, in: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain, 2012.' ufg: 'Mönks, Uwe et. al. (2012): An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning, in: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain.' van: 'Mönks U, Voth K, Lohweg V. An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning. In: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain. 2012.' date_created: 2019-12-03T06:40:20Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.1109/CIP.2012.6232905 keyword: - Sensor phenomena and characterization - Production - Sensor fusion - Fuzzy set theory - Conferences - Possibility theory language: - iso: eng main_file_link: - url: https://ieeexplore.ieee.org/abstract/document/6232905/keywords#keywords publication: IEEE CIP 2012, Third International Workshop on Cognitive Information Processing, May 28-30 2012, Parador de Baiona, Spain publication_identifier: eisbn: - 978-1-4673-1878-5 eissn: - '2327-1698 ' isbn: - 978-1-4673-1877-8 issn: - '2327-1671 ' publication_status: published status: public title: An Extended Perspective on Evidential Aggregation Rules in Machine Conditioning type: conference user_id: '45673' year: 2012 ... --- _id: '2113' abstract: - lang: eng text: In this paper, we sketch an idea for the integration of singleclass support vector machines (SVM) into fuzzy class learning. As result,we obtain robust and transparent rule-based fuzzy classification models suitable for online-classification tasks. In particular, the singleclass SVM is employed to extend the applicability of convex fuzzy classifica-tion models to nonconvex datainherent structures. The key point of thisextension is the preservation of the interpretability for both, the classlearning and the classification process. The feasibility of the approach isdemonstrated in the context of a banknote authentication application. author: - first_name: Arne-Jens full_name: Hempel, Arne-Jens last_name: Hempel - first_name: Holger full_name: Hähnel, Holger last_name: Hähnel - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.' apa: Hempel, A.-J., Hähnel, H., Mönks, U., & Lohweg, V. (2012). SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik. bjps: Hempel A-J et al. (2012) SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. BVAu 2012 - 3. Jahresolloquium ‘Bildverarbeitung in Der Automation’ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik. chicago: Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks, and Volker Lohweg. “SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” In BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik, 2012. chicago-de: 'Hempel, Arne-Jens, Holger Hähnel, Uwe Mönks und Volker Lohweg. 2012. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik.' din1505-2-1: 'Hempel, Arne-Jens ; Hähnel, Holger ; Mönks, Uwe ; Lohweg, Volker: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo, : inIT-Institut für industrielle Informationstechnik, 2012' havard: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.' ieee: A.-J. Hempel, H. Hähnel, U. Mönks, and V. Lohweg, “SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication,” in BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo, 2012. mla: Hempel, Arne-Jens, et al. “SVM-Integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication.” BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012. short: 'A.-J. Hempel, H. Hähnel, U. Mönks, V. Lohweg, in: BVAu 2012 - 3. Jahresolloquium “Bildverarbeitung in Der Automation” Centrum Industrial IT, Lemgo, inIT-Institut für industrielle Informationstechnik, 2012.' ufg: 'Hempel, Arne-Jens et. al. (2012): SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication, in: BVAu 2012 - 3. Jahresolloquium „Bildverarbeitung in der Automation“ Centrum Industrial IT, Lemgo,.' van: 'Hempel A-J, Hähnel H, Mönks U, Lohweg V. SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication. In: BVAu 2012 - 3 Jahresolloquium “Bildverarbeitung in der Automation” Centrum Industrial IT, Lemgo,. inIT-Institut für industrielle Informationstechnik; 2012.' date_created: 2019-12-03T06:50:52Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - fuzzy classification - pattern recognition - single-class support vector machine - data mining language: - iso: eng publication: BVAu 2012 - 3. Jahresolloquium "Bildverarbeitung in der Automation" Centrum Industrial IT, Lemgo, publisher: inIT-Institut für industrielle Informationstechnik status: public title: SVM-integrated Fuzzy Pattern Classification for Nonconvex Data-Inherent Structures Applied to Banknote Authentication type: conference user_id: '45673' year: 2012 ... --- _id: '2117' abstract: - lang: eng text: The present work aims at a statistically motivated parameterisation for a fuzzy classification approach. Its key points are the determination of robust parameterisations for the data-driven fuzzy class learning based an statistical analyses as well as the preservation of the interpretability of the fuzzy class models and the classification process. In particular, order statistics and Monte Carlo methods are used to determine distributions and moments of class border parameters. These distributions and moments are further applied to evaluate the robustness of parameters of the current fuzzy classification model and to propose alternative robust parameterisations. The feasibility of the approach is demonstrated in the context of a machine diagnosis application. author: - first_name: Holger full_name: Hähnel, Holger last_name: Hähnel - first_name: Arne-Jens full_name: Hempel, Arne-Jens last_name: Hempel - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Hähnel H, Hempel A-J, Mönks U, Lohweg V. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier E, Hoffmann F, eds. 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012:115-131.' apa: 'Hähnel, H., Hempel, A.-J., Mönks, U., & Lohweg, V. (2012). Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In E. Hüllermeier & F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund (pp. 115–131). Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' bjps: 'Hähnel H et al. (2012) Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In Hüllermeier E and Hoffmann F (eds), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), pp. 115–131.' chicago: 'Hähnel, Holger, Arne-Jens Hempel, Uwe Mönks, and Volker Lohweg. “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.” In 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , edited by Eike Hüllermeier and Frank Hoffmann, 115–31. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012.' chicago-de: 'Hähnel, Holger, Arne-Jens Hempel, Uwe Mönks und Volker Lohweg. 2012. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , hg. von Eike Hüllermeier und Frank Hoffmann, 115–131. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' din1505-2-1: 'Hähnel, Holger ; Hempel, Arne-Jens ; Mönks, Uwe ; Lohweg, Volker: Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier, E. ; Hoffmann, F. (Hrsg.): 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund . Düsseldorf : VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, S. 115–131' havard: 'H. Hähnel, A.-J. Hempel, U. Mönks, V. Lohweg, Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification, in: E. Hüllermeier, F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012: pp. 115–131.' ieee: H. Hähnel, A.-J. Hempel, U. Mönks, and V. Lohweg, “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification,” in 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , 2012, pp. 115–131. mla: Hähnel, Holger, et al. “Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification.” 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , edited by Eike Hüllermeier and Frank Hoffmann, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, pp. 115–31. short: 'H. Hähnel, A.-J. Hempel, U. Mönks, V. Lohweg, in: E. Hüllermeier, F. Hoffmann (Eds.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012, pp. 115–131.' ufg: 'Hähnel, Holger et. al. (2012): Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification, in: Eike Hüllermeier/Frank Hoffmann (Hgg.): 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund , Düsseldorf, S. 115–131.' van: 'Hähnel H, Hempel A-J, Mönks U, Lohweg V. Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification. In: Hüllermeier E, Hoffmann F, editors. 22 Workshop Computational Intelligence, 06-7122012, Dortmund . Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012. p. 115–31.' date_created: 2019-12-03T06:59:40Z date_updated: 2023-03-15T13:49:38Z ddc: - '600' department: - _id: DEP5023 editor: - first_name: 'Eike ' full_name: 'Hüllermeier, Eike ' last_name: Hüllermeier - first_name: Frank full_name: Hoffmann, Frank last_name: Hoffmann file: - access_level: closed content_type: application/pdf creator: 6bl-f5s date_created: 2019-12-03T07:00:42Z date_updated: 2019-12-03T07:00:42Z file_id: '2118' file_name: lohweg_integration.pdf file_size: 728201 relation: main_file file_date_updated: 2019-12-03T07:00:42Z has_accepted_license: '1' keyword: - Fuzzy-Regelung language: - iso: eng page: 115-131 place: Düsseldorf publication: '22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund ' publication_identifier: isbn: - 978-3-86644-917-6 publisher: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) status: public title: Integration of Statistical Analyses for Parametrisation of the Fuzzy Pattern Classification type: conference user_id: '45673' year: 2012 ... --- _id: '2119' abstract: - lang: eng text: In this paper, it is proposed a feature selection procedure based on Linear Discriminant Analysis. The aim behind this approach is to obtain a minimal set of features still enabling a separation between a number of different classes. Additionally, the reduced number of features implies faster computation and enables resource-limited hardware implementations for real-time signal processing applications. Also, incorporating only a small number of features retains the application's interpretability as a feature space of maximum three features can be visualised directly. Due to this, an expert can directly follow a decision system's answer. The proposed method has been evaluated in the context of an electric drive diagnosis application. In this scope, the LDA feature selection approach is at least as good as the benchmarked feature selection methods. When regarding only a minimal number of features, LDA outperforms the other approaches in terms of classification accuracy. As a secondary result. one can see how important a sensible choice of features is. While some arbitrary combinations produce completely inseparable feature spaces. Three are still combinations that can separate the classes even linearly such that no sophisticated classification concept (e.g. SVM) is needed. The authors are aware of the fact that the findings are shown only in the context of one specific application. Based on the work elaborated here, further research towards generalisation of the proposed approach is intended to be carried out. Additionally, the findings shall be examined using classifier concepts different from SVM, such as Fuzzy Pattern Classifiers. author: - first_name: Martyna full_name: Bator, Martyna id: '46440' last_name: Bator - first_name: Alexander full_name: Dicks, Alexander id: '1853' last_name: Dicks - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Bator M, Dicks A, Mönks U, Lohweg V. Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis. In: Frank Hoffmann EH, ed. 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012:163-177.' apa: 'Bator, M., Dicks, A., Mönks, U., & Lohweg, V. (2012). Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis. In E. H. Frank Hoffmann (Ed.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund (pp. 163–177). Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' bjps: 'Bator M et al. (2012) Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis. In Frank Hoffmann EH (ed.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), pp. 163–177.' chicago: 'Bator, Martyna, Alexander Dicks, Uwe Mönks, and Volker Lohweg. “Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis.” In 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund, edited by Eike Hüllermeier Frank Hoffmann, 163–77. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012.' chicago-de: 'Bator, Martyna, Alexander Dicks, Uwe Mönks und Volker Lohweg. 2012. Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis. In: 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund, hg. von Eike Hüllermeier Frank Hoffmann, 163–177. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA).' din1505-2-1: 'Bator, Martyna ; Dicks, Alexander ; Mönks, Uwe ; Lohweg, Volker: Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis. In: Frank Hoffmann, E. H. (Hrsg.): 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund. Düsseldorf : VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, S. 163–177' havard: 'M. Bator, A. Dicks, U. Mönks, V. Lohweg, Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis, in: E.H. Frank Hoffmann (Ed.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012: pp. 163–177.' ieee: M. Bator, A. Dicks, U. Mönks, and V. Lohweg, “Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis,” in 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund, 2012, pp. 163–177. mla: Bator, Martyna, et al. “Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis.” 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund, edited by Eike Hüllermeier Frank Hoffmann, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 2012, pp. 163–77. short: 'M. Bator, A. Dicks, U. Mönks, V. Lohweg, in: E.H. Frank Hoffmann (Ed.), 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), Düsseldorf, 2012, pp. 163–177.' ufg: 'Bator, Martyna et. al. (2012): Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis, in: Eike Hüllermeier Frank Hoffmann (Hg.): 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund, Düsseldorf, S. 163–177.' van: 'Bator M, Dicks A, Mönks U, Lohweg V. Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis. In: Frank Hoffmann EH, editor. 22 Workshop Computational Intelligence, 06-7122012, Dortmund. Düsseldorf: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA); 2012. p. 163–77.' date_created: 2019-12-03T07:02:29Z date_updated: 2023-03-15T13:49:38Z ddc: - '600' department: - _id: DEP5023 editor: - first_name: Eike Hüllermeier full_name: Frank Hoffmann, Eike Hüllermeier last_name: Frank Hoffmann file: - access_level: closed content_type: application/pdf creator: 6bl-f5s date_created: 2019-12-03T07:03:37Z date_updated: 2019-12-03T07:03:37Z file_id: '2120' file_name: lohweg_feature.pdf file_size: 580127 relation: main_file file_date_updated: 2019-12-03T07:03:37Z has_accepted_license: '1' language: - iso: eng page: 163-177 place: Düsseldorf publication: 22. Workshop Computational Intelligence, 06.-7.12.2012, Dortmund publication_identifier: isbn: - 978-3-86644-917-6 publication_status: published publisher: VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA) status: public title: Feature Extraction and Reduction Applied to Sensorless Drive Diagnosis type: conference user_id: '45673' year: 2012 ... --- _id: '2099' abstract: - lang: eng text: "In order to reduce time consuming and expensive flawed production in Security Printing Machines an inspection system for early recognition of consecutive errors is developed. It shall avoid printing errors by combining measuring data from several sensors with expert knowledge. The inspection quality is improved by acquiring several information sources, using different physical quantities, integrating expert knowledge and perception, extracting reasonable features, and generating intuitive results.\r\nThe TLCS (Two Layer Conflict Solving) approach is based on the Evidence Theory and uses conflict solving to fuse data. The first layer applies the Conflict Modified Dempster-Shafer-Theory (CMDST). Every two sensors‘ data are combined and conflicts are solved between individuals. In the second layer the data is fused using the results from the CMDST and the sensors’ original observations by the Group Conflict Redistribution (GCR). We introduce an improvement of the TLCS approach with reference to highly complex machine conditioning applications. In this context, the sensors are grouped to attributes applying expert knowledge. The fusion of the fuzzyfied sensor’s observations that are elements of one particular attribute is accomplished by the TLCS. Subsequently, the attributes’ conditions are merged using an Ordered Weighted Averaging Operator.\r\nIn security printing machines the wiping unit is the most sensible part. It is responsible for removing surplus ink around the engravings. Even small parameter manipulations cause errors during the production. Experienced machine operators recognize errors before they occur and stabilize the production by changing wiping unit parameters mainly. The fusion approach is evaluated in a wiping simulator. Current, impact sound, temperature and force are acquired and processed. Wear, parameter changes, and mechanical disturbances are detected by the introduced algorithm." author: - first_name: Karl full_name: Voth, Karl last_name: Voth - first_name: Stefan full_name: Glock, Stefan id: '44020' last_name: Glock - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Thomas full_name: Türke, Thomas last_name: Türke - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Voth K, Glock S, Mönks U, Türke T, Lohweg V. Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving. In: SENSOR+TEST Conference 2011,. Proceedings SENSOR 2011. 7 – 9 June 2011, Nürnberg, Germany ; 2011:686-691. doi:10.5162/sensor11/sp2.1' apa: Voth, K., Glock, S., Mönks, U., Türke, T., & Lohweg, V. (2011). Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving. In SENSOR+TEST Conference 2011, (pp. 686–691). 7 – 9 June 2011, Nürnberg, Germany . https://doi.org/10.5162/sensor11/sp2.1 bjps: Voth K et al. (2011) Multi-Sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving. SENSOR+TEST Conference 2011,. 7 – 9 June 2011, Nürnberg, Germany , pp. 686–691. chicago: Voth, Karl, Stefan Glock, Uwe Mönks, Thomas Türke, and Volker Lohweg. “Multi-Sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving.” In SENSOR+TEST Conference 2011, 686–91. Proceedings SENSOR 2011. 7 – 9 June 2011, Nürnberg, Germany , 2011. https://doi.org/10.5162/sensor11/sp2.1. chicago-de: 'Voth, Karl, Stefan Glock, Uwe Mönks, Thomas Türke und Volker Lohweg. 2011. Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving. In: SENSOR+TEST Conference 2011, 686–691. Proceedings SENSOR 2011. 7 – 9 June 2011, Nürnberg, Germany . doi:10.5162/sensor11/sp2.1, .' din1505-2-1: 'Voth, Karl ; Glock, Stefan ; Mönks, Uwe ; Türke, Thomas ; Lohweg, Volker: Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving. In: SENSOR+TEST Conference 2011,, Proceedings SENSOR 2011 : 7 – 9 June 2011, Nürnberg, Germany , 2011, S. 686–691' havard: 'K. Voth, S. Glock, U. Mönks, T. Türke, V. Lohweg, Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving, in: SENSOR+TEST Conference 2011, 7 – 9 June 2011, Nürnberg, Germany , 2011: pp. 686–691.' ieee: K. Voth, S. Glock, U. Mönks, T. Türke, and V. Lohweg, “Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving,” in SENSOR+TEST Conference 2011, 2011, pp. 686–691. mla: Voth, Karl, et al. “Multi-Sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving.” SENSOR+TEST Conference 2011, 7 – 9 June 2011, Nürnberg, Germany , 2011, pp. 686–91, doi:10.5162/sensor11/sp2.1. short: 'K. Voth, S. Glock, U. Mönks, T. Türke, V. Lohweg, in: SENSOR+TEST Conference 2011, 7 – 9 June 2011, Nürnberg, Germany , 2011, pp. 686–691.' ufg: 'Voth, Karl et. al. (2011): Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving, in: SENSOR+TEST Conference 2011, (=Proceedings SENSOR 2011), S. 686–691.' van: 'Voth K, Glock S, Mönks U, Türke T, Lohweg V. Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving. In: SENSOR+TEST Conference 2011,. 7 – 9 June 2011, Nürnberg, Germany ; 2011. p. 686–91. (Proceedings SENSOR 2011).' date_created: 2019-12-02T10:41:46Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.5162/sensor11/sp2.1 language: - iso: eng main_file_link: - open_access: '1' url: https://www.ama-science.org/proceedings/details/528 oa: '1' page: 686-691 publication: SENSOR+TEST Conference 2011, publication_identifier: isbn: - 978-3-9810993-9-3 publication_status: published publisher: '7 – 9 June 2011, Nürnberg, Germany ' series_title: Proceedings SENSOR 2011 status: public title: Multi-sensory Machine Diagnosis on Security Printing Machines with Two Layer Conflict Solving type: conference user_id: '45673' year: 2011 ... --- _id: '2085' author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Eugen full_name: Gillich, Eugen id: '1706' last_name: Gillich - first_name: Stefan full_name: Glock, Stefan id: '44020' last_name: Glock - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Johannes full_name: Schaede, Johannes id: '2128' last_name: Schaede citation: ama: 'Lohweg V, Gillich E, Glock S, Mönks U, Schaede J. Intaglio Based Banknote Authentication. In: 2. InIT KBA-Giori International Workshop on “Detection of Banknote Forgeries.” Orell Füssli, Zürich, 22-24 March 2010; 2010.' apa: Lohweg, V., Gillich, E., Glock, S., Mönks, U., & Schaede, J. (2010). Intaglio Based Banknote Authentication. In 2. inIT KBA-Giori International Workshop on “Detection of Banknote Forgeries.” Orell Füssli, Zürich, 22-24 March 2010. bjps: Lohweg V et al. (2010) Intaglio Based Banknote Authentication. 2. InIT KBA-Giori International Workshop on ‘Detection of Banknote Forgeries’. Orell Füssli, Zürich, 22-24 March 2010. chicago: Lohweg, Volker, Eugen Gillich, Stefan Glock, Uwe Mönks, and Johannes Schaede. “Intaglio Based Banknote Authentication.” In 2. InIT KBA-Giori International Workshop on “Detection of Banknote Forgeries.” Orell Füssli, Zürich, 22-24 March 2010, 2010. chicago-de: 'Lohweg, Volker, Eugen Gillich, Stefan Glock, Uwe Mönks und Johannes Schaede. 2010. Intaglio Based Banknote Authentication. In: 2. inIT KBA-Giori International Workshop on „Detection of Banknote Forgeries“. Orell Füssli, Zürich, 22-24 March 2010.' din1505-2-1: 'Lohweg, Volker ; Gillich, Eugen ; Glock, Stefan ; Mönks, Uwe ; Schaede, Johannes: Intaglio Based Banknote Authentication. In: 2. inIT KBA-Giori International Workshop on „Detection of Banknote Forgeries“ : Orell Füssli, Zürich, 22-24 March 2010, 2010' havard: 'V. Lohweg, E. Gillich, S. Glock, U. Mönks, J. Schaede, Intaglio Based Banknote Authentication, in: 2. InIT KBA-Giori International Workshop on “Detection of Banknote Forgeries,” Orell Füssli, Zürich, 22-24 March 2010, 2010.' ieee: V. Lohweg, E. Gillich, S. Glock, U. Mönks, and J. Schaede, “Intaglio Based Banknote Authentication,” in 2. inIT KBA-Giori International Workshop on “Detection of Banknote Forgeries,” 2010. mla: Lohweg, Volker, et al. “Intaglio Based Banknote Authentication.” 2. InIT KBA-Giori International Workshop on “Detection of Banknote Forgeries,” Orell Füssli, Zürich, 22-24 March 2010, 2010. short: 'V. Lohweg, E. Gillich, S. Glock, U. Mönks, J. Schaede, in: 2. InIT KBA-Giori International Workshop on “Detection of Banknote Forgeries,” Orell Füssli, Zürich, 22-24 March 2010, 2010.' ufg: 'Lohweg, Volker et. al. (2010): Intaglio Based Banknote Authentication, in: 2. inIT KBA-Giori International Workshop on „Detection of Banknote Forgeries“.' van: 'Lohweg V, Gillich E, Glock S, Mönks U, Schaede J. Intaglio Based Banknote Authentication. In: 2 inIT KBA-Giori International Workshop on “Detection of Banknote Forgeries.” Orell Füssli, Zürich, 22-24 March 2010; 2010.' date_created: 2019-12-02T08:03:04Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng publication: 2. inIT KBA-Giori International Workshop on "Detection of Banknote Forgeries" publisher: Orell Füssli, Zürich, 22-24 March 2010 status: public title: Intaglio Based Banknote Authentication type: conference user_id: '45673' year: 2010 ... --- _id: '2086' abstract: - lang: eng text: Many of the existing fusion approaches based on Dempster-Shafer Theory (DST) tend to be unreliable in various scenarios. Therefore, this topic is still in discussion. In this work a Two-Layer Conflict Solving (TLCS) data fusion scheme is proposed which is based on Dempster-Shafer Theory and on Fuzzy-Pattern-Classification (FPC) concepts. The aim is to provide an approach to data fusion which provides a stable conflict scenario handling. Furthermore, the scheme can easily be extended to fuzzy classification and is applicable to sensor fusion applications. Therefore, the suggested approach will contribute as a novel fuzzy fusion method. author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks citation: ama: 'Lohweg V, Mönks U. Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy; 2010. doi:10.1109/CIP.2010.5604094' apa: 'Lohweg, V., & Mönks, U. (2010). Sensor Fusion by Two-Layer Conflict Solving. In The 2nd International Workshop on Cognitive Information Processing. Elba: 14-16 June, 2010, Elba Island (Tuscany), Italy. https://doi.org/10.1109/CIP.2010.5604094' bjps: Lohweg V and Mönks U (2010) Sensor Fusion by Two-Layer Conflict Solving. The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy. chicago: Lohweg, Volker, and Uwe Mönks. “Sensor Fusion by Two-Layer Conflict Solving.” In The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010. https://doi.org/10.1109/CIP.2010.5604094. chicago-de: 'Lohweg, Volker und Uwe Mönks. 2010. Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy. doi:10.1109/CIP.2010.5604094, .' din1505-2-1: 'Lohweg, Volker ; Mönks, Uwe: Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing : 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010' havard: 'V. Lohweg, U. Mönks, Sensor Fusion by Two-Layer Conflict Solving, in: The 2nd International Workshop on Cognitive Information Processing, 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010.' ieee: V. Lohweg and U. Mönks, “Sensor Fusion by Two-Layer Conflict Solving,” in The 2nd International Workshop on Cognitive Information Processing, Elba, 2010. mla: Lohweg, Volker, and Uwe Mönks. “Sensor Fusion by Two-Layer Conflict Solving.” The 2nd International Workshop on Cognitive Information Processing, 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010, doi:10.1109/CIP.2010.5604094. short: 'V. Lohweg, U. Mönks, in: The 2nd International Workshop on Cognitive Information Processing, 14-16 June, 2010, Elba Island (Tuscany), Italy, 2010.' ufg: 'Lohweg, Volker/Mönks, Uwe (2010): Sensor Fusion by Two-Layer Conflict Solving, in: The 2nd International Workshop on Cognitive Information Processing.' van: 'Lohweg V, Mönks U. Sensor Fusion by Two-Layer Conflict Solving. In: The 2nd International Workshop on Cognitive Information Processing. 14-16 June, 2010, Elba Island (Tuscany), Italy; 2010.' conference: end_date: 2010-06-16 location: Elba name: ' 2010 2nd International Workshop on Cognitive Information Processing' start_date: 2010-06-14 date_created: 2019-12-02T08:04:18Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 doi: 10.1109/CIP.2010.5604094 keyword: - Noise measurement - Fuzzy sets - Noise - Sensor fusion - Logic gates - Feature extraction - Fuses language: - iso: eng publication: The 2nd International Workshop on Cognitive Information Processing publication_identifier: eisbn: - 978-1-4244-6459-3 isbn: - 978-1-4244-6457-9 issn: - '2327-1671 ' unknown: - '2327-1698 ' publication_status: published publisher: 14-16 June, 2010, Elba Island (Tuscany), Italy status: public title: Sensor Fusion by Two-Layer Conflict Solving type: conference user_id: '45673' year: 2010 ... --- _id: '2087' abstract: - lang: eng text: It is likely in real-world applications that only little data isavailable for training a knowledge-based system. We present a method forautomatically training the knowledge-representing membership functionsof a Fuzzy-Pattern-Classification system that works also when only littledata is available and the universal set is described insufficiently. Actually,this paper presents how the Modified-Fuzzy-Pattern-Classifier’s member-ship functions are trained using probability distribution functions. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Denis full_name: Petker, Denis last_name: Petker citation: ama: 'Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany; 2010.' apa: Mönks, U., Lohweg, V., & Petker, D. (2010). Fuzzy-Pattern-Classifier Training with Small Data Sets. In IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany. bjps: Mönks U, Lohweg V and Petker D (2010) Fuzzy-Pattern-Classifier Training with Small Data Sets. IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany. chicago: Mönks, Uwe, Volker Lohweg, and Denis Petker. “Fuzzy-Pattern-Classifier Training with Small Data Sets.” In IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010. chicago-de: 'Mönks, Uwe, Volker Lohweg und Denis Petker. 2010. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany.' din1505-2-1: 'Mönks, Uwe ; Lohweg, Volker ; Petker, Denis: Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems : 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010' havard: 'U. Mönks, V. Lohweg, D. Petker, Fuzzy-Pattern-Classifier Training with Small Data Sets, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.' ieee: U. Mönks, V. Lohweg, and D. Petker, “Fuzzy-Pattern-Classifier Training with Small Data Sets,” in IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 2010. mla: Mönks, Uwe, et al. “Fuzzy-Pattern-Classifier Training with Small Data Sets.” IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010. short: 'U. Mönks, V. Lohweg, D. Petker, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems, 28 Jun 2010 - 02 July 2010, Dortmund, Germany, 2010.' ufg: 'Mönks, Uwe et. al. (2010): Fuzzy-Pattern-Classifier Training with Small Data Sets, in: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems.' van: 'Mönks U, Lohweg V, Petker D. Fuzzy-Pattern-Classifier Training with Small Data Sets. In: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems. 28 Jun 2010 - 02 July 2010, Dortmund, Germany; 2010.' date_created: 2019-12-02T08:15:18Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 keyword: - Fuzzy Logic - Probability Theory - Fuzzy-Pattern-Classification - Machine Learning - Artificial Intelligence - Pattern Recognition language: - iso: eng main_file_link: - open_access: '1' url: https://www.th-owl.de/init/uploads/tx_initdb/00800426_01.pdf oa: '1' publication: IPMU 2010 - International Conference on Information Processing and Management of Uncertainty in Knowledge Based Systems publication_status: published publisher: 28 Jun 2010 - 02 July 2010, Dortmund, Germany status: public title: Fuzzy-Pattern-Classifier Training with Small Data Sets type: conference user_id: '45673' year: 2010 ... --- _id: '2089' author: - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks citation: ama: 'Lohweg V, Mönks U. Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning. In: Thomas (ed) C, ed. Sensor Fusion ISBN 978-953-307-101-5 Ed by Ciza Thomas. SCIYO; 2010.' apa: Lohweg, V., & Mönks, U. (2010). Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning. In C. Thomas (ed) (Ed.), Sensor Fusion ISBN 978-953-307-101-5 ed by Ciza Thomas. SCIYO. bjps: Lohweg V and Mönks U (2010) Fuzzy-Pattern-Classifier Based Sensor Fusion for Machine Conditioning. In Thomas (ed) C (ed.), Sensor Fusion ISBN 978-953-307-101-5 Ed by Ciza Thomas. SCIYO. chicago: Lohweg, Volker, and Uwe Mönks. “Fuzzy-Pattern-Classifier Based Sensor Fusion for Machine Conditioning.” In Sensor Fusion ISBN 978-953-307-101-5 Ed by Ciza Thomas, edited by Ciza Thomas (ed). SCIYO, 2010. chicago-de: 'Lohweg, Volker und Uwe Mönks. 2010. Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning. In: Sensor Fusion ISBN 978-953-307-101-5 ed by Ciza Thomas, hg. von Ciza Thomas (ed). SCIYO.' din1505-2-1: 'Lohweg, Volker ; Mönks, Uwe: Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning. In: Thomas (ed), C. (Hrsg.): Sensor Fusion ISBN 978-953-307-101-5 ed by Ciza Thomas : SCIYO, 2010' havard: 'V. Lohweg, U. Mönks, Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning, in: C. Thomas (ed) (Ed.), Sensor Fusion ISBN 978-953-307-101-5 Ed by Ciza Thomas, SCIYO, 2010.' ieee: V. Lohweg and U. Mönks, “Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning,” in Sensor Fusion ISBN 978-953-307-101-5 ed by Ciza Thomas, 2010. mla: Lohweg, Volker, and Uwe Mönks. “Fuzzy-Pattern-Classifier Based Sensor Fusion for Machine Conditioning.” Sensor Fusion ISBN 978-953-307-101-5 Ed by Ciza Thomas, edited by Ciza Thomas (ed), SCIYO, 2010. short: 'V. Lohweg, U. Mönks, in: C. Thomas (ed) (Ed.), Sensor Fusion ISBN 978-953-307-101-5 Ed by Ciza Thomas, SCIYO, 2010.' ufg: 'Lohweg, Volker/Mönks, Uwe (2010): Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning, in: Ciza Thomas (ed) (Hg.): Sensor Fusion ISBN 978-953-307-101-5 ed by Ciza Thomas.' van: 'Lohweg V, Mönks U. Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning. In: Thomas (ed) C, editor. Sensor Fusion ISBN 978-953-307-101-5 ed by Ciza Thomas. SCIYO; 2010.' date_created: 2019-12-02T08:40:40Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 editor: - first_name: Ciza full_name: Thomas (ed), Ciza last_name: Thomas (ed) language: - iso: eng main_file_link: - open_access: '1' url: https://www.intechopen.com/books/sensor-fusion-and-its-applications/fuzzy-pattern-classifier-based-sensor-fusion-for-machine-conditioning oa: '1' publication: Sensor Fusion ISBN 978-953-307-101-5 ed by Ciza Thomas publisher: SCIYO status: public title: Fuzzy-Pattern-Classifier based Sensor Fusion for Machine Conditioning type: conference user_id: '45673' year: 2010 ... --- _id: '2092' author: - first_name: Jan-Friedrich full_name: Ehlenbröker, Jan-Friedrich id: '1852' last_name: Ehlenbröker - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 citation: ama: 'Ehlenbröker J-F, Mönks U, Lohweg V. Surface Fingerprint Detection. In: 1. Fachkolloquium “Bildverarbeitung in Der Automation.” Centrum Industrial IT, Lemgo; 2010.' apa: Ehlenbröker, J.-F., Mönks, U., & Lohweg, V. (2010). Surface Fingerprint Detection. In 1. Fachkolloquium “Bildverarbeitung in der Automation.” Centrum Industrial IT, Lemgo. bjps: Ehlenbröker J-F, Mönks U and Lohweg V (2010) Surface Fingerprint Detection. 1. Fachkolloquium ‘Bildverarbeitung in Der Automation’. Centrum Industrial IT, Lemgo. chicago: Ehlenbröker, Jan-Friedrich, Uwe Mönks, and Volker Lohweg. “Surface Fingerprint Detection.” In 1. Fachkolloquium “Bildverarbeitung in Der Automation.” Centrum Industrial IT, Lemgo, 2010. chicago-de: 'Ehlenbröker, Jan-Friedrich, Uwe Mönks und Volker Lohweg. 2010. Surface Fingerprint Detection. In: 1. Fachkolloquium „Bildverarbeitung in der Automation“. Centrum Industrial IT, Lemgo.' din1505-2-1: 'Ehlenbröker, Jan-Friedrich ; Mönks, Uwe ; Lohweg, Volker: Surface Fingerprint Detection. In: 1. Fachkolloquium „Bildverarbeitung in der Automation“ : Centrum Industrial IT, Lemgo, 2010' havard: 'J.-F. Ehlenbröker, U. Mönks, V. Lohweg, Surface Fingerprint Detection, in: 1. Fachkolloquium “Bildverarbeitung in Der Automation,” Centrum Industrial IT, Lemgo, 2010.' ieee: J.-F. Ehlenbröker, U. Mönks, and V. Lohweg, “Surface Fingerprint Detection,” in 1. Fachkolloquium “Bildverarbeitung in der Automation,” 2010. mla: Ehlenbröker, Jan-Friedrich, et al. “Surface Fingerprint Detection.” 1. Fachkolloquium “Bildverarbeitung in Der Automation,” Centrum Industrial IT, Lemgo, 2010. short: 'J.-F. Ehlenbröker, U. Mönks, V. Lohweg, in: 1. Fachkolloquium “Bildverarbeitung in Der Automation,” Centrum Industrial IT, Lemgo, 2010.' ufg: 'Ehlenbröker, Jan-Friedrich et. al. (2010): Surface Fingerprint Detection, in: 1. Fachkolloquium „Bildverarbeitung in der Automation“.' van: 'Ehlenbröker J-F, Mönks U, Lohweg V. Surface Fingerprint Detection. In: 1 Fachkolloquium “Bildverarbeitung in der Automation.” Centrum Industrial IT, Lemgo; 2010.' date_created: 2019-12-02T09:51:00Z date_updated: 2023-03-15T13:49:38Z ddc: - '600' department: - _id: DEP5023 file: - access_level: closed content_type: application/pdf creator: 6bl-f5s date_created: 2019-12-02T09:51:52Z date_updated: 2019-12-02T09:51:52Z file_id: '2093' file_name: lohweg_surface.pdf file_size: 179802 relation: main_file file_date_updated: 2019-12-02T09:51:52Z has_accepted_license: '1' language: - iso: eng publication: 1. Fachkolloquium "Bildverarbeitung in der Automation" publication_identifier: isbn: - 978-3-9814062-0-7 publisher: Centrum Industrial IT, Lemgo status: public title: Surface Fingerprint Detection type: conference user_id: '45673' year: 2010 ... --- _id: '2081' abstract: - lang: eng text: This paper presents a novel modular fuzzy patternclassifier design framework for intelligent automation systems, developed on the base of the established Modified Fuzzy PatternClassifier (MFPC) and that allows designing novel classifier mod-els which are hardware-efficiently implementable. The perfor-mances of novel classifiers using substitutes of MFPC’s geometricmean aggregator are benchmarked in the scope of an imageprocessing application against the MFPC to reveal classificationimprovement potentials for obtaining higher classification rates. author: - first_name: Uwe full_name: Mönks, Uwe id: '1825' last_name: Mönks - first_name: Volker full_name: Lohweg, Volker id: '1804' last_name: Lohweg orcid: 0000-0002-3325-7887 - first_name: Henrik Legind full_name: Larsen, Henrik Legind last_name: Larsen citation: ama: 'Mönks U, Lohweg V, Larsen HL. Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09). In: KI 2009 Workshop, Paderborn | September 15th, 2009, Accepted for Publication. ; 2009.' apa: Mönks, U., Lohweg, V., & Larsen, H. L. (2009). Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09). In KI 2009 Workshop, Paderborn | September 15th, 2009, accepted for Publication. bjps: Mönks U, Lohweg V and Larsen HL (2009) Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09). KI 2009 Workshop, Paderborn | September 15th, 2009, Accepted for Publication. chicago: Mönks, Uwe, Volker Lohweg, and Henrik Legind Larsen. “Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09).” In KI 2009 Workshop, Paderborn | September 15th, 2009, Accepted for Publication, 2009. chicago-de: 'Mönks, Uwe, Volker Lohweg und Henrik Legind Larsen. 2009. Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09). In: KI 2009 Workshop, Paderborn | September 15th, 2009, accepted for Publication.' din1505-2-1: 'Mönks, Uwe ; Lohweg, Volker ; Larsen, Henrik Legind: Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09). In: KI 2009 Workshop, Paderborn | September 15th, 2009, accepted for Publication, 2009' havard: 'U. Mönks, V. Lohweg, H.L. Larsen, Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09), in: KI 2009 Workshop, Paderborn | September 15th, 2009, Accepted for Publication, 2009.' ieee: U. Mönks, V. Lohweg, and H. L. Larsen, “Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09),” in KI 2009 Workshop, Paderborn | September 15th, 2009, accepted for Publication, 2009. mla: Mönks, Uwe, et al. “Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09).” KI 2009 Workshop, Paderborn | September 15th, 2009, Accepted for Publication, 2009. short: 'U. Mönks, V. Lohweg, H.L. Larsen, in: KI 2009 Workshop, Paderborn | September 15th, 2009, Accepted for Publication, 2009.' ufg: 'Mönks, Uwe et. al. (2009): Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09), in: KI 2009 Workshop, Paderborn | September 15th, 2009, accepted for Publication.' van: 'Mönks U, Lohweg V, Larsen HL. Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09). In: KI 2009 Workshop, Paderborn | September 15th, 2009, accepted for Publication. 2009.' date_created: 2019-11-29T14:50:48Z date_updated: 2023-03-15T13:49:38Z department: - _id: DEP5023 language: - iso: eng main_file_link: - open_access: '1' url: https://www.th-owl.de/init/uploads/tx_initdb/MLRTA2009_paper_4_01.pdf oa: '1' publication: KI 2009 Workshop, Paderborn | September 15th, 2009, accepted for Publication publication_status: published status: public title: Aggregation Operator Based Fuzzy Pattern Classifier Design, Machine Learning in Real-Time Applications (MLRTA 09) type: conference user_id: '45673' year: 2009 ...