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Information Fusion Under Consideration of Conflicting Input Signals
Kategorie	Beschreibung
036a	XA-DE
037b	eng
087q	978-3-662-53751-0
100	Mönks, Uwe
331	Information Fusion Under Consideration of Conflicting Input Signals
410	Berlin, Heidelberg
412	Springer Vieweg
425	2017
425a	2017
433	Online-Ressource (XIX, 240 p. 58 illus., 35 illus. in color, online resource)
451b	Technologien für die intelligente Automation, Technologies for Intelligent Automation
527	Druckausg.ISBN: 978-3-662-53751-0
540a	ISBN 978-3-662-53752-7
700	\|UYQ
700	\|COM004000
700b	\|006.3
700c	\|Q342
750	This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the µBalTLCS (fuzzified balanced two-layer conflict solving) fusion algorithm to reduce the impact of conflicts on the fusion result. In addition, a sensor defect detection method, which is based on the continuous monitoring of sensor reliabilities, is presented. The performances of the contributions are shown by their evaluation in the scope of both a publicly available data set and 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 author Dr.-Ing. Uwe Mönks studied Electrical Engineering and Information Technology at the OWL University of Applied Sciences (Lemgo), Halmstad University (Sweden), and Aalborg University (Denmark). Since 2009 he is employed at the Institute Industrial IT (inIT) as research associate with project leading responsibilities. During this time he completed his doctorate (Dr.-Ing.) in a cooperative graduation with Ruhr-University Bochum. His research interests are in the area of multisensor and information fusion, pattern recognition, and machine learning
753	Introduction -- Scientific State of the Art -- Preliminaries -- Multilayer Attribute-based Conflict-reducing Observation -- Evaluation -- Summary
902s	210566663 Multisensor
902s	213947552 Datenfusion
902s	452343534 Eingangssignal
902s	211996106 Dempster-Shafer-Theorie
902s	209483202 Konfliktlösung
902s	214589153 Fuzzifizierung
902s	212324675 Informationsmodell
902s	211716731 Zustandsüberwachung
902s	209646659 Fehlererkennung
902s	209130075 Zuverlässigkeit
012	480944113
081	Mönks, Uwe: Information Fusion Under Consideration of Conflicting Input Signals
100	Springer E-Book
125a	Elektronischer Volltext - Campuslizenz
655e	$uhttp://dx.doi.org/10.1007/978-3-662-53752-7