Information Fusion Under Consideration Of Conflicting Input Signals by Uwe MönksInformation Fusion Under Consideration Of Conflicting Input Signals by Uwe Mönks

Information Fusion Under Consideration Of Conflicting Input Signals

byUwe Mönks

Paperback | December 19, 2016

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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.



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 ...
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Title:Information Fusion Under Consideration Of Conflicting Input SignalsFormat:PaperbackDimensions:240 pagesPublished:December 19, 2016Publisher:Springer-Verlag/Sci-Tech/TradeLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:3662537516

ISBN - 13:9783662537510

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Table of Contents

Introduction.- Scientific State of the Art.- Preliminaries.- Multilayer Attribute-based Conflict-reducing Observation.- Evaluation.- Summary.