{"doi":"10.1109/ETFA.2013.6647984","publication_identifier":{"eissn":["1946-0759 "],"eisbn":["978-1-4799-0864-6"],"isbn":["978-1-4799-0862-2"],"issn":["1946-0740 "]},"corporate_editor":["IEEE"],"title":"Machine Conditioning by Importance Controlled Information Fusion","department":[{"_id":"DEP5023"}],"keyword":["Decision making","Robot sensing systems","Reliability","Production","Context","Fuzzy set theory","Data integration"],"citation":{"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.","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.","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.","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","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.","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.","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.","short":"U. Mönks, V. Lohweg, in: IEEE (Ed.), 18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA), Cagliari, Italy, 2013.","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","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, .","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.","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"},"status":"public","user_id":"45673","year":2013,"type":"conference","date_created":"2019-12-04T09:30:15Z","publication":"18th IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)","publication_status":"published","place":"Cagliari, Italy","author":[{"id":"1825","last_name":"Mönks","first_name":"Uwe","full_name":"Mönks, Uwe"},{"orcid":"0000-0002-3325-7887","id":"1804","last_name":"Lohweg","full_name":"Lohweg, Volker","first_name":"Volker"}],"_id":"2141","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"}],"language":[{"iso":"eng"}],"date_updated":"2023-03-15T13:49:39Z"}