[{"title":"An Approach to Automated Fusion System Design and Adaptation","volume":17,"citation":{"ieee":"A. Fritze, U. Mönks, C.-A. Holst, and V. Lohweg, “An Approach to Automated Fusion System Design and Adaptation,” <i>Sensors</i>, vol. 17, no. 3, 2017.","ama":"Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i>. 2017;17(3). doi:<a href=\"https://doi.org/ https://doi.org/10.3390/s17030601\"> https://doi.org/10.3390/s17030601</a>","apa":"Fritze, A., Mönks, U., Holst, C.-A., &#38; Lohweg, V. (2017). An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i>, <i>17</i>(3). <a href=\"https://doi.org/ https://doi.org/10.3390/s17030601\">https://doi.org/ https://doi.org/10.3390/s17030601</a>","chicago":"Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst, and Volker Lohweg. “An Approach to Automated Fusion System Design and Adaptation.” <i>Sensors</i> 17, no. 3 (2017). <a href=\"https://doi.org/ https://doi.org/10.3390/s17030601\">https://doi.org/ https://doi.org/10.3390/s17030601</a>.","van":"Fritze A, Mönks U, Holst C-A, Lohweg V. An Approach to Automated Fusion System Design and Adaptation. Sensors. 2017;17(3).","bjps":"<b>Fritze A <i>et al.</i></b> (2017) An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i> <b>17</b>.","havard":"A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, An Approach to Automated Fusion System Design and Adaptation, Sensors. 17 (2017).","mla":"Fritze, Alexander, et al. “An Approach to Automated Fusion System Design and Adaptation.” <i>Sensors</i>, vol. 17, no. 3, 601, 2017, doi:<a href=\"https://doi.org/ https://doi.org/10.3390/s17030601\"> https://doi.org/10.3390/s17030601</a>.","ufg":"<b>Fritze, Alexander et. al. (2017)</b>: An Approach to Automated Fusion System Design and Adaptation, in: <i>Sensors</i> <i>17</i> (<i>3</i>).","short":"A. Fritze, U. Mönks, C.-A. Holst, V. Lohweg, Sensors 17 (2017).","din1505-2-1":"<span style=\"font-variant:small-caps;\">Fritze, Alexander</span> ; <span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Holst, Christoph-Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: An Approach to Automated Fusion System Design and Adaptation. In: <i>Sensors</i> Bd. 17 (2017), Nr. 3","chicago-de":"Fritze, Alexander, Uwe Mönks, Christoph-Alexander Holst und Volker Lohweg. 2017. An Approach to Automated Fusion System Design and Adaptation. <i>Sensors</i> 17, Nr. 3. doi:<a href=\"https://doi.org/ https://doi.org/10.3390/s17030601,\"> https://doi.org/10.3390/s17030601,</a> ."},"year":2017,"main_file_link":[{"url":"https://www.mdpi.com/1424-8220/17/3/601/htm","open_access":"1"}],"author":[{"full_name":"Fritze, Alexander","last_name":"Fritze","first_name":"Alexander"},{"last_name":"Mönks","full_name":"Mönks, Uwe","id":"1825","first_name":"Uwe"},{"full_name":"Holst, Christoph-Alexander","last_name":"Holst","first_name":"Christoph-Alexander","id":"64782"},{"orcid":"0000-0002-3325-7887","last_name":"Lohweg","full_name":"Lohweg, Volker","id":"1804","first_name":"Volker"}],"status":"public","publication":"Sensors","publication_identifier":{"issn":["1424-8220"]},"date_created":"2019-11-25T08:52:14Z","date_updated":"2023-03-15T13:49:38Z","oa":"1","keyword":["information fusion","intelligent sensor","knowledge-based system","self-configuration","sensor fusion"],"language":[{"iso":"eng"}],"publication_status":"published","department":[{"_id":"DEP5023"}],"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."}],"issue":"3","type":"journal_article","user_id":"15514","intvolume":"        17","_id":"2014","doi":" https://doi.org/10.3390/s17030601","article_number":"601"},{"type":"journal_article","date_created":"2019-12-04T09:29:07Z","publication":"Mechatronics","publication_identifier":{"issn":["0957-4158"]},"date_updated":"2023-03-15T13:49:39Z","user_id":"68554","oa":"1","doi":"10.1016/j.mechatronics.2015.05.005","_id":"2140","language":[{"iso":"eng"}],"keyword":["Cyber-physical systems","Information fusion","Fusion system design","Intelligent sensors","Self-configuration","Intelligent networking"],"title":"Towards distributed intelligent sensor and information fusion","citation":{"short":"U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, V. Lohweg, Mechatronics (2015) 63–71.","chicago-de":"Mönks, Uwe, Henning Trsek, Lars Dürkop, Volker Geneiß und Volker Lohweg. 2015. Towards distributed intelligent sensor and information fusion. <i>Mechatronics</i>, Nr. 34: 63–71. doi:<a href=\"https://doi.org/10.1016/j.mechatronics.2015.05.005,\">10.1016/j.mechatronics.2015.05.005,</a> .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Trsek, Henning</span> ; <span style=\"font-variant:small-caps;\">Dürkop, Lars</span> ; <span style=\"font-variant:small-caps;\">Geneiß, Volker</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Towards distributed intelligent sensor and information fusion. In: <i>Mechatronics</i>, Elsevier (2015), Nr. 34, S. 63–71","ieee":"U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, and V. Lohweg, “Towards distributed intelligent sensor and information fusion,” <i>Mechatronics</i>, no. 34, pp. 63–71, 2015.","apa":"Mönks, U., Trsek, H., Dürkop, L., Geneiß, V., &#38; Lohweg, V. (2015). Towards distributed intelligent sensor and information fusion. <i>Mechatronics</i>, (34), 63–71. <a href=\"https://doi.org/10.1016/j.mechatronics.2015.05.005\">https://doi.org/10.1016/j.mechatronics.2015.05.005</a>","chicago":"Mönks, Uwe, Henning Trsek, Lars Dürkop, Volker Geneiß, and Volker Lohweg. “Towards Distributed Intelligent Sensor and Information Fusion.” <i>Mechatronics</i>, no. 34 (2015): 63–71. <a href=\"https://doi.org/10.1016/j.mechatronics.2015.05.005\">https://doi.org/10.1016/j.mechatronics.2015.05.005</a>.","ama":"Mönks U, Trsek H, Dürkop L, Geneiß V, Lohweg V. Towards distributed intelligent sensor and information fusion. <i>Mechatronics</i>. 2015;(34):63-71. doi:<a href=\"https://doi.org/10.1016/j.mechatronics.2015.05.005\">10.1016/j.mechatronics.2015.05.005</a>","van":"Mönks U, Trsek H, Dürkop L, Geneiß V, Lohweg V. Towards distributed intelligent sensor and information fusion. Mechatronics. 2015;(34):63–71.","havard":"U. Mönks, H. Trsek, L. Dürkop, V. Geneiß, V. Lohweg, Towards distributed intelligent sensor and information fusion, Mechatronics. (2015) 63–71.","mla":"Mönks, Uwe, et al. “Towards Distributed Intelligent Sensor and Information Fusion.” <i>Mechatronics</i>, no. 34, Elsevier, 2015, pp. 63–71, doi:<a href=\"https://doi.org/10.1016/j.mechatronics.2015.05.005\">10.1016/j.mechatronics.2015.05.005</a>.","bjps":"<b>Mönks U <i>et al.</i></b> (2015) Towards Distributed Intelligent Sensor and Information Fusion. <i>Mechatronics</i> 63–71.","ufg":"<b>Mönks, Uwe et. al. (2015)</b>: Towards distributed intelligent sensor and information fusion, in: <i>Mechatronics</i> (<i>34</i>), S. 63–71."},"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."}],"issue":"34","department":[{"_id":"DEP5023"}],"year":2015,"main_file_link":[{"open_access":"1","url":"https://www.sciencedirect.com/science/article/pii/S0957415815000707"}],"author":[{"full_name":"Mönks, Uwe","id":"1825","first_name":"Uwe","last_name":"Mönks"},{"last_name":"Trsek","id":"1486","full_name":"Trsek, Henning","first_name":"Henning"},{"first_name":"Lars","last_name":"Dürkop","full_name":"Dürkop, Lars"},{"first_name":"Volker","last_name":"Geneiß","full_name":"Geneiß, Volker"},{"orcid":"0000-0002-3325-7887","last_name":"Lohweg","id":"1804","full_name":"Lohweg, Volker","first_name":"Volker"}],"publisher":"Elsevier","page":"63-71","status":"public"},{"title":"Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept","publication_status":"published","citation":{"ieee":"R. Li and V. Lohweg, “Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept,” 2008.","ama":"Li R, Lohweg V. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany; 2008.","chicago":"Li, Rui, and Volker Lohweg. “Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept.” In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.","apa":"Li, R., &#38; Lohweg, V. (2008). Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.","bjps":"<b>Li R and Lohweg V</b> (2008) Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.","mla":"Li, Rui, and Volker Lohweg. <i>Fuzzy Pattern Classification Tuning by Parameter Learning Based on Fusion Concept</i>. In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.","havard":"R. Li, V. Lohweg, Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept, in: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008.","ufg":"<b>Li, Rui/Lohweg, Volker (2008)</b>: Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept, in: .","van":"Li R, Lohweg V. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany; 2008.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Li, Rui</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In:  : In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008","chicago-de":"Li, Rui und Volker Lohweg. 2008. Fuzzy Pattern Classification Tuning by Parameter Learning based on Fusion Concept. In: . In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany.","short":"R. Li, V. Lohweg, in: In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany, 2008."},"abstract":[{"lang":"eng","text":"In this paper, a fuzzy pattern classification tuning approach is proposed, which is based on fusion concept. In this method, tuning parameters are learned in a training procedure, enabling system to be capable of managing individual classification task. Fuzzy c-means, as a specific instance of Tuning Reference, is employed as a tool to offer membership function which is used for making decisions and its membership function fuses (tunes) another membership function captured from fuzzy pattern classification and then final decisions are made upon fused one. Experiments are taken on five benchmark datasets, one of them shows an equal performance and the other four present better results than each single classifier."}],"department":[{"_id":"DEP5023"}],"year":2008,"main_file_link":[{"url":"https://ieeexplore.ieee.org/document/4632223/keywords#full-text-header"}],"author":[{"last_name":"Li","full_name":"Li, Rui","first_name":"Rui","id":"2000"},{"first_name":"Volker","id":"1804","last_name":"Lohweg","full_name":"Lohweg, Volker","orcid":"0000-0002-3325-7887"}],"publisher":"In: The 11th Conference on Information Fusion, June 30 - July 3, Cologne, Germany","status":"public","date_created":"2019-11-29T14:09:33Z","type":"conference","publication_identifier":{"isbn":["978-3-8007-3092-6"]},"date_updated":"2023-03-15T13:49:38Z","user_id":"45673","_id":"2071","language":[{"iso":"eng"}],"keyword":["tuning parameter","information fusion","fuzzy cmeans","membership function","fuzzy pattern classification"]}]