DocumentCode :
1195438
Title :
A new diagnosis approach for handling tolerance in analog and mixed-signal circuits by using fuzzy math
Author :
Wang, Peng ; Yang, Shiyuan
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Volume :
52
Issue :
10
fYear :
2005
Firstpage :
2118
Lastpage :
2127
Abstract :
A novel analysis method for analog circuits test and diagnosis is described in this paper. Diagnosis hypotheses are represented and fuzzy math is used to express the diagnosis hypotheses and strategy. Based on it, new equivalent fault model is presented and used for test node selection and design for test. Especially, parametric fault test for linear analog circuits with tolerance analysis is presented using both sensitivity method and fuzzy analysis method.
Keywords :
analogue integrated circuits; fault diagnosis; fault tolerance; fuzzy logic; fuzzy set theory; mixed analogue-digital integrated circuits; network analysis; analog circuit; circuit analysis method; equivalent fault model; fuzzy analysis method; fuzzy math; linear analog circuits; mixed signal circuit; parametric fault test; sensitivity method; tolerance analysis; Analog circuits; Circuit faults; Circuit simulation; Circuit testing; Computational modeling; Dictionaries; Fault diagnosis; Monte Carlo methods; Probability distribution; Voltage; Diagnosis hypothesis; equivalent faults; fault diagnosis; membership function; parametric fault diagnosis; test node selection;
fLanguage :
English
Journal_Title :
Circuits and Systems I: Regular Papers, IEEE Transactions on
Publisher :
ieee
ISSN :
1549-8328
Type :
jour
DOI :
10.1109/TCSI.2005.853266
Filename :
1519625
Link To Document :
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