[{"_id":"2137","doi":" 10.1109/ETFA.2013.6648126","place":"Cagliari, Italy","language":[{"iso":"eng"}],"oa":"1","user_id":"45673","date_updated":"2023-03-15T13:49:39Z","publication_identifier":{"eisbn":["978-1-4799-0864-6"],"isbn":["978-1-4799-0862-2"]},"date_created":"2019-12-04T09:25:43Z","type":"conference","publisher":"18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","status":"public","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":[{"last_name":"Bayer","first_name":"Christian","full_name":"Bayer, Christian"},{"last_name":"Bator","full_name":"Bator, Martyna","first_name":"Martyna","id":"46440"},{"first_name":"Olaf","full_name":"Enge-Rosenblatt, Olaf","last_name":"Enge-Rosenblatt"},{"id":"1825","last_name":"Mönks","full_name":"Mönks, Uwe","first_name":"Uwe"},{"first_name":"Alexander","id":"1853","last_name":"Dicks","full_name":"Dicks, Alexander"},{"id":"1804","last_name":"Lohweg","full_name":"Lohweg, Volker","first_name":"Volker","orcid":"0000-0002-3325-7887"}],"main_file_link":[{"url":"http://publica.fraunhofer.de/eprints/urn_nbn_de_0011-n-2666279.pdf","open_access":"1"}],"year":2013,"department":[{"_id":"DEP5023"}],"citation":{"ufg":"<b>Bayer, Christian et. al. (2013)</b>: Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction., in: , Cagliari, Italy.","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.","mla":"Bayer, Christian, et al. <i>Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction.</i> 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), 2013, doi:<a href=\"https://doi.org/ 10.1109/ETFA.2013.6648126\"> 10.1109/ETFA.2013.6648126</a>.","bjps":"<b>Bayer C <i>et al.</i></b> (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).","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.","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. <a href=\"https://doi.org/ 10.1109/ETFA.2013.6648126\">https://doi.org/ 10.1109/ETFA.2013.6648126</a>.","apa":"Bayer, C., Bator, M., Enge-Rosenblatt, O., Mönks, U., Dicks, A., &#38; 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). <a href=\"https://doi.org/ 10.1109/ETFA.2013.6648126\">https://doi.org/ 10.1109/ETFA.2013.6648126</a>","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:<a href=\"https://doi.org/ 10.1109/ETFA.2013.6648126,\"> 10.1109/ETFA.2013.6648126,</a> .","din1505-2-1":"<span style=\"font-variant:small-caps;\">Bayer, Christian</span> ; <span style=\"font-variant:small-caps;\">Bator, Martyna</span> ; <span style=\"font-variant:small-caps;\">Enge-Rosenblatt, Olaf</span> ; <span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Dicks, Alexander</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: 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","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.","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:<a href=\"https://doi.org/ 10.1109/ETFA.2013.6648126\"> 10.1109/ETFA.2013.6648126</a>","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."},"publication_status":"published","title":"Sensorless Drive Diagnosis Using Automated Feature Extraction, Significance Ranking and Reduction."},{"doi":"10.1109/ETFA.2013.6647984","_id":"2141","language":[{"iso":"eng"}],"place":"Cagliari, Italy","keyword":["Decision making","Robot sensing systems","Reliability","Production","Context","Fuzzy set theory","Data integration"],"date_created":"2019-12-04T09:30:15Z","type":"conference","publication_identifier":{"eissn":["1946-0759 "],"isbn":["978-1-4799-0862-2"],"issn":["1946-0740 "],"eisbn":["978-1-4799-0864-6"]},"publication":"18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","corporate_editor":["IEEE"],"date_updated":"2023-03-15T13:49:39Z","user_id":"45673","abstract":[{"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.","lang":"eng"}],"department":[{"_id":"DEP5023"}],"year":2013,"author":[{"full_name":"Mönks, Uwe","id":"1825","last_name":"Mönks","first_name":"Uwe"},{"orcid":"0000-0002-3325-7887","full_name":"Lohweg, Volker","id":"1804","last_name":"Lohweg","first_name":"Volker"}],"status":"public","title":"Machine Conditioning by Importance Controlled Information Fusion","publication_status":"published","citation":{"ieee":"U. Mönks and V. Lohweg, “Machine Conditioning by Importance Controlled Information Fusion,” in <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, 2013.","ama":"Mönks U, Lohweg V. Machine Conditioning by Importance Controlled Information Fusion. In: IEEE, ed. <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Cagliari, Italy; 2013. doi:<a href=\"https://doi.org/10.1109/ETFA.2013.6647984\">10.1109/ETFA.2013.6647984</a>","apa":"Mönks, U., &#38; Lohweg, V. (2013). Machine Conditioning by Importance Controlled Information Fusion. In IEEE (Ed.), <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Cagliari, Italy. <a href=\"https://doi.org/10.1109/ETFA.2013.6647984\">https://doi.org/10.1109/ETFA.2013.6647984</a>","chicago":"Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled Information Fusion.” In <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, edited by IEEE. Cagliari, Italy, 2013. <a href=\"https://doi.org/10.1109/ETFA.2013.6647984\">https://doi.org/10.1109/ETFA.2013.6647984</a>.","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.","bjps":"<b>Mönks U and Lohweg V</b> (2013) Machine Conditioning by Importance Controlled Information Fusion. In IEEE (ed.), <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Cagliari, Italy.","mla":"Mönks, Uwe, and Volker Lohweg. “Machine Conditioning by Importance Controlled Information Fusion.” <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, edited by IEEE, 2013, doi:<a href=\"https://doi.org/10.1109/ETFA.2013.6647984\">10.1109/ETFA.2013.6647984</a>.","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.","ufg":"<b>Mönks, Uwe/Lohweg, Volker (2013)</b>: Machine Conditioning by Importance Controlled Information Fusion, in: IEEE (Hg.): <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, Cagliari, Italy.","short":"U. Mönks, V. Lohweg, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.","din1505-2-1":"<span style=\"font-variant:small-caps;\">Mönks, Uwe</span> ; <span style=\"font-variant:small-caps;\">Lohweg, Volker</span>: Machine Conditioning by Importance Controlled Information Fusion. In: <span style=\"font-variant:small-caps;\">IEEE</span> (Hrsg.): <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>. Cagliari, Italy, 2013","chicago-de":"Mönks, Uwe und Volker Lohweg. 2013. Machine Conditioning by Importance Controlled Information Fusion. In: <i>18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)</i>, hg. von IEEE. Cagliari, Italy. doi:<a href=\"https://doi.org/10.1109/ETFA.2013.6647984,\">10.1109/ETFA.2013.6647984,</a> ."}}]