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Multiple signal fault detection using fuzzy logic. (English) Zbl 1039.68894
Chung, Paul W. H. (ed.) et al., Developments in applied artificial intelligence. 16th international conference on industrial and engineering applications of artificial intelligence and expert systems, IEA/AIE 2003, Loughborough, UK, June 23–26, 2003. Proceedings. Berlin: Springer (ISBN 3-540-40455-4/pbk). Lect. Notes Comput. Sci. 2718, 83-92 (2003).
Summary: In this paper, we describe a multiple Signal Fault Detection system that employs fuzzy logic at two levels of detection: signal segment fault and signal fault. The system involves signal segmentation, feature extraction and fuzzy logic based segment fault detection and signal fault detection. At the signal segment level, we developed a fuzzy learning algorithm that learns from good vehicle signals only. The system has been implemented and tested extensively of vehicle signals. The experiments using vehicle engine Electronic Control Unit (ECU) signals are presented and discussed in the paper.
For the entire collection see [Zbl 1029.68683].
MSC:
68U99 Computing methodologies and applications
68T05 Learning and adaptive systems in artificial intelligence
93C42 Fuzzy control/observation systems
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