Information Fusion Under Consideration of Conflicting Input Signals

Information Fusion Under Consideration of Conflicting Input Signals

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This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the I¼BalTLCS (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.MATLAB was chosen for this purpose because it lets the user create code in a syntax which is close to mathematical ... manual implementation of these algorithms is necessary. ... Benchmark tests are important to obtain an impression of how an algorithm performs in certain settings compared to ... These people were equipped with a Samsung Galaxy SII smartphone, which was fastened to their waists.

Title:Information Fusion Under Consideration of Conflicting Input Signals
Author: Uwe Mönks
Publisher:Springer - 2016-11-25

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