A fuzzy logic system for analog fault diagnosis

Author

Abdulghafour, M. ; El-Gamal, M.A.

Author_Institution

Dept. of Math. & Comput. Sci., United Arab Emirates Univ., Al-Ain, United Arab Emirates

Volume

1

fYear

1996

fDate

12-15 May 1996

Firstpage

97

Abstract

In this paper, a fuzzy logic system for analog fault diagnosis is introduced. The ability of fuzzy logic to encode structured knowledge in a numerical framework is exploited. Circuit measurements are properly fuzzified. Fuzzy rule bases are constructed such that the behaviour of the circuit under test in both fault and fault-free situations is characterized. The outputs of the fuzzy rule bases are then defuzzified to recover crisp values for circuit elements. A new fault diagnosis procedure that utilizes the proposed fuzzy logic system is proposed. An illustrative example to demonstrate the potential of this procedure in fault isolation is presented

Keywords

analogue circuits; circuit testing; fault diagnosis; fuzzy logic; analog fault diagnosis; circuit measurement; fault isolation; fuzzy logic system; fuzzy rule base; Circuit faults; Circuit simulation; Circuit testing; Computer science; Dictionaries; Fault diagnosis; Fuzzy logic; Fuzzy systems; Mathematics; Performance evaluation;

fLanguage

English

Publisher

ieee

Conference_Titel

Circuits and Systems, 1996. ISCAS '96., Connecting the World., 1996 IEEE International Symposium on

Conference_Location

Atlanta, GA

Print_ISBN

0-7803-3073-0

Type

conf

DOI

10.1109/ISCAS.1996.539817

Filename

539817