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