Application of fuzzy logic to reliability engineering

Author

Bowles, John B. ; PelÁez, ColÓn E.

Author_Institution

Dept. of Electr. & Comput. Eng., South Carolina Univ., Columbia, SC, USA

Volume

83

Issue

3

fYear

1995

fDate

3/1/1995 12:00:00 AM

Firstpage

435

Lastpage

449

Abstract

The analysis of system reliability often requires the use of subjective-judgments, uncertain data, and approximate system models. By allowing imprecision and approximate analysis fuzzy logic provides an effective tool for characterizing system reliability in these circumstances; it does not force precision where it is not possible. Here we apply the main concepts of fuzzy logic, fuzzy arithmetic and linguistic variables to the analysis of system structures, fault trees, event trees, the reliability of degradable systems, and the assessment of system criticality based on the severity of a failure and its probability of occurrence

Keywords

fault trees; fuzzy logic; fuzzy set theory; reliability theory; uncertainty handling; approximate analysis; degradable system reliability; event trees; fault trees; fuzzy arithmetic; fuzzy logic; imprecision; linguistic variables; reliability engineering; system criticality; system reliability; Arithmetic; Design engineering; Failure analysis; Fault trees; Fuzzy logic; Performance analysis; Possibility theory; Probability; Reliability engineering; Uncertainty;

fLanguage

English

Journal_Title

Proceedings of the IEEE

Publisher

ieee

ISSN

0018-9219

Type

jour

DOI

10.1109/5.364489

Filename

364489