NDLI: Adaptive algorithm for analog fault based on a sensitivity matrix and the fuzzy set theory

Content Provider	IEEE Xplore Digital Library
Author	Grzechca, D. Rutkowski, J.
Copyright Year	2002
Description	Author affiliation: Inst. of Electron., Silesian Univ. of Technol., Gliwice, Poland (Grzechca, D.; Rutkowski, J.)
Abstract	Recently, most on going research has been focused on distinguishing faulty or healthy circuits - from the manufacturer's point of view, this is more important than locating particular faulty elements. A faulty circuit is returned to the design engineer and this person must consider the possibility of redesigning the schematics (if the problem occurs frequently). To find and locate faulty elements in a circuit, the sensitivity matrix can be used. It has been observed that for most practical circuits the sensitivity matrix is sparse. This observation has been utilized in fuzzy expert systems and system modifications based on the reduction of the sensitivity matrix size have been proposed. The modified system can effectively detect and locate single catastrophic faults as well as parametric ones. The first results obtained and presented here are promising, and tend to prove that the proposed strategy can improve fault detection and location rate.
Sponsorship	IEEE CAS Soc. IEEE Region 8
Starting Page	649
Ending Page	652
File Size	344239
Page Count	4
File Format	PDF
ISBN	0780375963
DOI	10.1109/ICECS.2002.1046252
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-15
Publisher Place	Croatia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Adaptive algorithm Fuzzy set theory Circuit faults Circuit testing Circuit simulation Dictionaries Sparse matrices Manufacturing Hybrid intelligent systems Electrical fault detection
Content Type	Text
Resource Type	Article

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