DocumentCode
3342659
Title
Fault detection and classification of analog circuits by means of fuzzy logic-based techniques
Author
Torralba, A. ; Chávez, J. ; Franquelo, L.G.
Author_Institution
Dept. de Ingenieria Electron., Seville Univ., Spain
Volume
3
fYear
1995
fDate
30 Apr-3 May 1995
Firstpage
1828
Abstract
This paper presents a fuzzy system for the fault detection and classification in analog circuits. This fuzzy system uses the results of a set of Monte-Carlo runs of the circuit, under nominal and faulty condition, to adjust its parameters following a backpropagation technique. Experimental results obtained with two CMOS analog opamps are also presented
Keywords
CMOS analogue integrated circuits; Monte Carlo methods; backpropagation; circuit analysis computing; fault diagnosis; fuzzy logic; fuzzy neural nets; operational amplifiers; CMOS analog opamps; Monte-Carlo runs; analog circuits; backpropagation technique; fault classification; fault detection; fuzzy logic-based techniques; Analog circuits; Backpropagation; Circuit faults; Circuit testing; Electrical fault detection; Electronic circuits; Electronic mail; Fuzzy logic; Fuzzy systems; Neurons;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1995. ISCAS '95., 1995 IEEE International Symposium on
Conference_Location
Seattle, WA
Print_ISBN
0-7803-2570-2
Type
conf
DOI
10.1109/ISCAS.1995.523770
Filename
523770
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