Information Fusion Under Consideration of Conflicting Input Signals

Information Fusion Under Consideration of Conflicting Input Signals

December 29. 2016 | ISBN-10: 3662537516 | 240 Pages | PDF | 4.55 MB

Authors: M?nks, Uwe
Introduces the MACRO (multilayer attribute-based conflict-reducing observation) fusion system
Contains a discussion of state-of-the-art information fusion approaches from probability, possibility, and Dempster-Shafer theory
Compares the proposed approach to real-world application

This work proposes the multilayered information fusion system MACRO (multilayer attribute-based conflict-reducing observation) and the Ž╠BalTLCS (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

Number of Pages
XIX, 240
Number of Illustrations and Tables
23 b/w illustrations, 35 illustrations in colour
Topics
Computational Intelligence
Signal, Image and Speech Processing
Robotics and Automation
Artificial Intelligence (incl. Robotics)

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