[{"_id":"12800","publication":"The International Journal of Advanced Manufacturing Technology","title":"Cognitive capabilities for the CAAI in cyber-physical production systems","date_created":"2025-04-15T13:05:17Z","language":[{"iso":"eng"}],"publication_status":"published","volume":115,"place":"London [u.a.]","citation":{"ieee":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, and T. Bartz-Beielstein, “Cognitive capabilities for the CAAI in cyber-physical production systems,” <i>The International Journal of Advanced Manufacturing Technology</i>, vol. 115, no. 11–12, pp. 3513–3532, 2021, doi: <a href=\"https://doi.org/10.1007/s00170-021-07248-3\">10.1007/s00170-021-07248-3</a>.","van":"Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein T. Cognitive capabilities for the CAAI in cyber-physical production systems. The International Journal of Advanced Manufacturing Technology. 2021;115(11–12):3513–32.","ama":"Strohschein J, Fischbach A, Bunte A, Faeskorn-Woyke H, Moriz N, Bartz-Beielstein T. Cognitive capabilities for the CAAI in cyber-physical production systems. <i>The International Journal of Advanced Manufacturing Technology</i>. 2021;115(11-12):3513-3532. doi:<a href=\"https://doi.org/10.1007/s00170-021-07248-3\">10.1007/s00170-021-07248-3</a>","din1505-2-1":"<span style=\"font-variant:small-caps;\">Strohschein, Jan</span> ; <span style=\"font-variant:small-caps;\">Fischbach, Andreas</span> ; <span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Faeskorn-Woyke, Heide</span> ; <span style=\"font-variant:small-caps;\">Moriz, Natalia</span> ; <span style=\"font-variant:small-caps;\">Bartz-Beielstein, Thomas</span>: Cognitive capabilities for the CAAI in cyber-physical production systems. In: <i>The International Journal of Advanced Manufacturing Technology</i> Bd. 115. London [u.a.], Springer  (2021), Nr. 11–12, S. 3513–3532","bjps":"<b>Strohschein J <i>et al.</i></b> (2021) Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i> <b>115</b>, 3513–3532.","chicago":"Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” <i>The International Journal of Advanced Manufacturing Technology</i> 115, no. 11–12 (2021): 3513–32. <a href=\"https://doi.org/10.1007/s00170-021-07248-3\">https://doi.org/10.1007/s00170-021-07248-3</a>.","havard":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, Cognitive capabilities for the CAAI in cyber-physical production systems, The International Journal of Advanced Manufacturing Technology. 115 (2021) 3513–3532.","mla":"Strohschein, Jan, et al. “Cognitive Capabilities for the CAAI in Cyber-Physical Production Systems.” <i>The International Journal of Advanced Manufacturing Technology</i>, vol. 115, no. 11–12, 2021, pp. 3513–32, <a href=\"https://doi.org/10.1007/s00170-021-07248-3\">https://doi.org/10.1007/s00170-021-07248-3</a>.","apa":"Strohschein, J., Fischbach, A., Bunte, A., Faeskorn-Woyke, H., Moriz, N., &#38; Bartz-Beielstein, T. (2021). Cognitive capabilities for the CAAI in cyber-physical production systems. <i>The International Journal of Advanced Manufacturing Technology</i>, <i>115</i>(11–12), 3513–3532. <a href=\"https://doi.org/10.1007/s00170-021-07248-3\">https://doi.org/10.1007/s00170-021-07248-3</a>","short":"J. Strohschein, A. Fischbach, A. Bunte, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology 115 (2021) 3513–3532.","chicago-de":"Strohschein, Jan, Andreas Fischbach, Andreas Bunte, Heide Faeskorn-Woyke, Natalia Moriz und Thomas Bartz-Beielstein. 2021. Cognitive capabilities for the CAAI in cyber-physical production systems. <i>The International Journal of Advanced Manufacturing Technology</i> 115, Nr. 11–12: 3513–3532. doi:<a href=\"https://doi.org/10.1007/s00170-021-07248-3\">10.1007/s00170-021-07248-3</a>, .","ufg":"<b>Strohschein, Jan u. a.</b>: Cognitive capabilities for the CAAI in cyber-physical production systems, in: <i>The International Journal of Advanced Manufacturing Technology</i> 115 (2021), H. 11–12,  S. 3513–3532."},"publication_identifier":{"eissn":["1433-3015"],"issn":["0268-3768"]},"isi":"1","author":[{"last_name":"Strohschein","full_name":"Strohschein, Jan","first_name":"Jan"},{"last_name":"Fischbach","full_name":"Fischbach, Andreas","first_name":"Andreas"},{"first_name":"Andreas","full_name":"Bunte, Andreas","id":"58885","last_name":"Bunte"},{"full_name":"Faeskorn-Woyke, Heide","last_name":"Faeskorn-Woyke","first_name":"Heide"},{"last_name":"Moriz","id":"44238","full_name":"Moriz, Natalia","first_name":"Natalia"},{"first_name":"Thomas","last_name":"Bartz-Beielstein","full_name":"Bartz-Beielstein, Thomas"}],"intvolume":"       115","page":"3513-3532","abstract":[{"text":"his paper presents the cognitive module of the Cognitive Architecture for Artificial Intelligence (CAAI) in cyber-physical production systems (CPPS). The goal of this architecture is to reduce the implementation effort of artificial intelligence (AI) algorithms in CPPS. Declarative user goals and the provided algorithm-knowledge base allow the dynamic pipeline orchestration and configuration. A big data platform (BDP) instantiates the pipelines and monitors the CPPS performance for further evaluation through the cognitive module. Thus, the cognitive module is able to select feasible and robust configurations for process pipelines in varying use cases. Furthermore, it automatically adapts the models and algorithms based on model quality and resource consumption. The cognitive module also instantiates additional pipelines to evaluate algorithms from different classes on test functions. CAAI relies on well-defined interfaces to enable the integration of additional modules and reduce implementation effort. Finally, an implementation based on Docker, Kubernetes, and Kafka for the virtualization and orchestration of the individual modules and as messaging technology for module communication is used to evaluate a real-world use case.","lang":"eng"}],"keyword":["Cognition","Industry 40","Big data platform","Machine learning","CPPS","Optimization","Algorithm selection","Simulation"],"status":"public","department":[{"_id":"DEP5023"}],"user_id":"83781","year":"2021","external_id":{"isi":["000659025000010"]},"date_updated":"2025-06-26T13:39:22Z","doi":"10.1007/s00170-021-07248-3","issue":"11-12","publisher":"Springer ","type":"scientific_journal_article"},{"keyword":["CPPS","Artificial intelligence","Industry 40","Reference architecture","Optimization","SMBO","Cognition","Big data platform","Modularization","AutoML"],"abstract":[{"lang":"eng","text":"This paper introduces CAAI, a novel cognitive architecture for artificial intelligence in cyber-physical production systems. The goal of the architecture is to reduce the implementation effort for the usage of artificial intelligence algorithms. The core of the CAAI is a cognitive module that processes the user's declarative goals, selects suitable models and algorithms, and creates a configuration for the execution of a processing pipeline on a big data platform. Constant observation and evaluation against performance criteria assess the performance of pipelines for many and different use cases. Based on these evaluations, the pipelines are automatically adapted if necessary. The modular design with well-defined interfaces enables the reusability and extensibility of pipeline components. A big data platform implements this modular design supported by technologies such as Docker, Kubernetes, and Kafka for virtualization and orchestration of the individual components and their communication. The implementation of the architecture is evaluated using a real-world use case. The prototypic implementation is accessible on GitHub and contains a demonstration."}],"page":"609-626","year":"2020","user_id":"83781","department":[{"_id":"DEP5023"}],"status":"public","issue":"1/2","date_updated":"2025-06-26T13:38:24Z","doi":"10.1007/s00170-020-06094-z","external_id":{"isi":["000574389900002"]},"type":"journal_article","publisher":"Springer","_id":"4518","publication":"The International Journal of Advanced Manufacturing Technology","title":"CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems","intvolume":"       111","author":[{"last_name":"Fischbach","full_name":"Fischbach, Andreas","first_name":"Andreas"},{"first_name":"Jan","last_name":"Strohschein","full_name":"Strohschein, Jan"},{"first_name":"Andreas","last_name":"Bunte","id":"58885","full_name":"Bunte, Andreas"},{"first_name":"Jörg","last_name":"Stork","full_name":"Stork, Jörg"},{"full_name":"Faeskorn-Woyke, Heide","last_name":"Faeskorn-Woyke","first_name":"Heide"},{"first_name":"Natalia","id":"44238","last_name":"Moriz","full_name":"Moriz, Natalia"},{"last_name":"Bartz-Beielstein","full_name":"Bartz-Beielstein, Thomas","first_name":"Thomas"}],"isi":"1","publication_identifier":{"issn":["0268-3768"],"eissn":["1433-3015"]},"citation":{"chicago":"Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz, and Thomas Bartz-Beielstein. “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.” <i>The International Journal of Advanced Manufacturing Technology</i> 111, no. 1/2 (2020): 609–26. <a href=\"https://doi.org/10.1007/s00170-020-06094-z\">https://doi.org/10.1007/s00170-020-06094-z</a>.","bjps":"<b>Fischbach A <i>et al.</i></b> (2020) CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i> <b>111</b>, 609–626.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Fischbach, Andreas</span> ; <span style=\"font-variant:small-caps;\">Strohschein, Jan</span> ; <span style=\"font-variant:small-caps;\">Bunte, Andreas</span> ; <span style=\"font-variant:small-caps;\">Stork, Jörg</span> ; <span style=\"font-variant:small-caps;\">Faeskorn-Woyke, Heide</span> ; <span style=\"font-variant:small-caps;\">Moriz, Natalia</span> ; <span style=\"font-variant:small-caps;\">Bartz-Beielstein, Thomas</span>: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. In: <i>The International Journal of Advanced Manufacturing Technology</i> Bd. 111, Springer (2020), Nr. 1/2, S. 609–626","van":"Fischbach A, Strohschein J, Bunte A, Stork J, Faeskorn-Woyke H, Moriz N, et al. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. The International Journal of Advanced Manufacturing Technology. 2020;111(1/2):609–26.","ama":"Fischbach A, Strohschein J, Bunte A, et al. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i>. 2020;111(1/2):609-626. doi:<a href=\"https://doi.org/10.1007/s00170-020-06094-z\">10.1007/s00170-020-06094-z</a>","ieee":"A. Fischbach <i>et al.</i>, “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems,” <i>The International Journal of Advanced Manufacturing Technology</i>, vol. 111, no. 1/2, pp. 609–626, 2020, doi: <a href=\"https://doi.org/10.1007/s00170-020-06094-z\">10.1007/s00170-020-06094-z</a>.","ufg":"<b>Fischbach, Andreas u. a.</b>: CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems, in: <i>The International Journal of Advanced Manufacturing Technology</i> 111 (2020), H. 1/2,  S. 609–626.","chicago-de":"Fischbach, Andreas, Jan Strohschein, Andreas Bunte, Jörg Stork, Heide Faeskorn-Woyke, Natalia Moriz und Thomas Bartz-Beielstein. 2020. CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i> 111, Nr. 1/2: 609–626. doi:<a href=\"https://doi.org/10.1007/s00170-020-06094-z\">10.1007/s00170-020-06094-z</a>, .","short":"A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, The International Journal of Advanced Manufacturing Technology 111 (2020) 609–626.","mla":"Fischbach, Andreas, et al. “CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems.” <i>The International Journal of Advanced Manufacturing Technology</i>, vol. 111, no. 1/2, 2020, pp. 609–26, <a href=\"https://doi.org/10.1007/s00170-020-06094-z\">https://doi.org/10.1007/s00170-020-06094-z</a>.","apa":"Fischbach, A., Strohschein, J., Bunte, A., Stork, J., Faeskorn-Woyke, H., Moriz, N., &#38; Bartz-Beielstein, T. (2020). CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems. <i>The International Journal of Advanced Manufacturing Technology</i>, <i>111</i>(1/2), 609–626. <a href=\"https://doi.org/10.1007/s00170-020-06094-z\">https://doi.org/10.1007/s00170-020-06094-z</a>","havard":"A. Fischbach, J. Strohschein, A. Bunte, J. Stork, H. Faeskorn-Woyke, N. Moriz, T. Bartz-Beielstein, CAAI -- A Cognitive Architecture to Introduce Artificial Intelligence in Cyber-Physical Production Systems, The International Journal of Advanced Manufacturing Technology. 111 (2020) 609–626."},"volume":111,"publication_status":"published","date_created":"2021-01-26T12:24:10Z","language":[{"iso":"eng"}]},{"type":"book_editor","publisher":"Springer","editor":[{"first_name":"Andreas","full_name":"Holzinger, Andreas","last_name":"Holzinger"},{"first_name":"Carsten","full_name":"Röcker, Carsten","id":"61525","last_name":"Röcker"},{"first_name":"Martina","last_name":"Ziefle","full_name":"Ziefle, Martina"}],"date_updated":"2023-03-15T13:49:52Z","doi":"10.1007/978-3-319-16226-3","department":[{"_id":"DEP5023"}],"user_id":"15514","year":2015,"status":"public","keyword":["HCI","ambient assisted living","big data","computational intelligence","context awareness","data centric medicine","decision support","interactive data mining","keyword detection","knoweldge bases","knoweldge discovery","machine learning","medical decision support","medical informatics","natural language processing","pervasive health","smart home","ubiquitous computing","visualization","wearable sensors"],"page":"275","abstract":[{"lang":"eng","text":"Prolonged life expectancy along with the increasing complexity of medicine and health services raises health costs worldwide dramatically. Whilst the smart health concept has much potential to support the concept of the emerging P4-medicine (preventive, participatory, predictive, and personalized), such high-tech medicine produces large amounts of high-dimensional, weakly-structured data sets and massive amounts of unstructured information. All these technological approaches along with “big data” are turning the medical sciences into a data-intensive science. To keep pace with the growing amounts of complex data, smart hospital approaches are a commandment of the future, necessitating context aware computing along with advanced interaction paradigms in new physical-digital ecosystems.\r\n\r\nThe very successful synergistic combination of methodologies and approaches from Human-Computer Interaction (HCI) and Knowledge Discovery and Data Mining (KDD) offers ideal conditions for the vision to support human intelligence with machine learning.\r\n\r\nThe papers selected for this volume focus on hot topics in smart health; they discuss open problems and future challenges in order to provide a research agenda to stimulate further research and progress."}],"publication_identifier":{"eisbn":["978-3-319-16226-3"],"isbn":["978-3-319-16225-6"],"eissn":["1611-3349"],"issn":["0302-9743"]},"intvolume":"      8700","date_created":"2021-01-08T12:03:52Z","language":[{"iso":"eng"}],"publication_status":"published","volume":8700,"place":"Heidelberg","citation":{"ufg":"<b>Holzinger, Andreas et. al. (Hgg.) (2015)</b>: Smart Health: Open Problems and Future Challenges (=<i>Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI 8700</i>), Heidelberg.","chicago-de":"Holzinger, Andreas, Carsten Röcker und Martina Ziefle, Hrsg. 2015. <i>Smart Health: Open Problems and Future Challenges</i>. Bd. 8700. Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI. Heidelberg: Springer. doi:<a href=\"https://doi.org/10.1007/978-3-319-16226-3,\">10.1007/978-3-319-16226-3,</a> .","chicago":"Holzinger, Andreas, Carsten Röcker, and Martina Ziefle, eds. <i>Smart Health: Open Problems and Future Challenges</i>. Vol. 8700. Lecture Notes in Computer Science /  Information Systems and Applications, Incl. Internet/Web, and HCI. Heidelberg: Springer, 2015. <a href=\"https://doi.org/10.1007/978-3-319-16226-3\">https://doi.org/10.1007/978-3-319-16226-3</a>.","short":"A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and Future Challenges, Springer, Heidelberg, 2015.","bjps":"<b>Holzinger A, Röcker C and Ziefle M (eds)</b> (2015) <i>Smart Health: Open Problems and Future Challenges</i>. Heidelberg: Springer.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Holzinger, A.</span> ; <span style=\"font-variant:small-caps;\">Röcker, C.</span> ; <span style=\"font-variant:small-caps;\">Ziefle, M.</span> (Hrsg.): <i>Smart Health: Open Problems and Future Challenges</i>, <i>Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI</i>. Bd. 8700. Heidelberg : Springer, 2015","apa":"Holzinger, A., Röcker, C., &#38; Ziefle, M. (Eds.). (2015). <i>Smart Health: Open Problems and Future Challenges</i> (Vol. 8700). Heidelberg: Springer. <a href=\"https://doi.org/10.1007/978-3-319-16226-3\">https://doi.org/10.1007/978-3-319-16226-3</a>","mla":"Holzinger, Andreas, et al., editors. <i>Smart Health: Open Problems and Future Challenges</i>. Vol. 8700, Springer, 2015, doi:<a href=\"https://doi.org/10.1007/978-3-319-16226-3\">10.1007/978-3-319-16226-3</a>.","van":"Holzinger A, Röcker C, Ziefle M, editors. Smart Health: Open Problems and Future Challenges. Heidelberg: Springer; 2015. 275 p. (Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI; vol. 8700).","ama":"Holzinger A, Röcker C, Ziefle M, eds. <i>Smart Health: Open Problems and Future Challenges</i>. Vol 8700. Heidelberg: Springer; 2015. doi:<a href=\"https://doi.org/10.1007/978-3-319-16226-3\">10.1007/978-3-319-16226-3</a>","ieee":"A. Holzinger, C. Röcker, and M. Ziefle, Eds., <i>Smart Health: Open Problems and Future Challenges</i>, vol. 8700. Heidelberg: Springer, 2015.","havard":"A. Holzinger, C. Röcker, M. Ziefle, eds., Smart Health: Open Problems and Future Challenges, Springer, Heidelberg, 2015."},"title":"Smart Health: Open Problems and Future Challenges","main_file_link":[{"url":"http://www.springerlink.com/content/978-3-319-16226-3 ","open_access":"1"}],"series_title":"Lecture Notes in Computer Science /  Information Systems and Applications, incl. Internet/Web, and HCI","oa":"1","_id":"4336"},{"user_id":"45673","year":2011,"department":[{"_id":"DEP5023"}],"status":"public","_id":"2102","keyword":["Sensor- und Informationsfusion","elektrischer Antrieb","Cyber-Physical System","Industrie 4.0","Big Data"],"abstract":[{"text":"Die  Zustandsüberwachung  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.  Im  Folgenden  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  vorge-stellt, das die Informationen aller im Verbund beteiligten Antriebe zusammenführt, um darüber eine mit weniger Unsicherheiten behaftete Aussage über den Zustand einer Ap-plikation  herbeizuführen.  Das  Hauptaugenmerk  liegt  hierbei  insbesondere  auf  der  Beherrschung  der  anfallenden  riesigen  Datenmengen,  die  zur  Verarbeitung  in  eingebetteten Systemen reduziert werden müssen.","lang":"ger"}],"author":[{"first_name":"Karl","last_name":"Voth","full_name":"Voth, Karl"},{"first_name":"Alexander","full_name":"Dicks, Alexander","last_name":"Dicks","id":"1853"},{"id":"1804","last_name":"Lohweg","full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887"}],"type":"conference","citation":{"bjps":"<b>Voth K, Dicks A and Lohweg V</b> (2011) Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund.","short":"K. Voth, A. Dicks, V. Lohweg, in: 2011.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Voth, Karl</span> ; <span style=\"font-variant:small-caps;\">Dicks, Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund. In: , 2011","mla":"Voth, Karl, et al. <i>Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund</i>. 2011.","apa":"Voth, K., Dicks, A., &#38; Lohweg, V. (2011). Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund.","ufg":"<b>Voth, Karl et. al. (2011)</b>: Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund, in: .","chicago":"Voth, Karl, Alexander Dicks, and Volker Lohweg. “Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund,” 2011.","chicago-de":"Voth, Karl, Alexander Dicks und Volker Lohweg. 2011. Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund. In: .","ieee":"K. Voth, A. Dicks, and V. Lohweg, “Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund,” 2011.","havard":"K. Voth, A. Dicks, V. Lohweg, Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund, in: 2011.","van":"Voth K, Dicks A, Lohweg V. Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund. In 2011.","ama":"Voth K, Dicks A, Lohweg V. Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund. In: ; 2011."},"language":[{"iso":"ger"}],"date_created":"2019-12-02T14:32:58Z","publication_status":"published","date_updated":"2023-03-15T13:49:38Z","title":"Konfliktlösende Informationsfusion zur Maschinendiagnose am Beispiel von Extrusionsanlagen, 21. Workshop Computational Intelligence, VDI/VDE-Gesellschaft Mess- und Automatisierungstechnik (GMA), 30. November - 02. Dezember 2011, Dortmund"}]