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Expert System for FMECA Using Minimal Cut Set and Fuzzy Theory  

Kim, Dong-Jin (한양대학교 전기공학과)
Kim, Jin-O (한양대학교 전기공학과)
Kim, Hyung-Chul (철도기술연구원 전력연구팀)
Publication Information
Journal of the Korean Society for Railway / v.12, no.3, 2009 , pp. 342-347 More about this Journal
Abstract
Failure Mode Effects and Criticality Analysis (FMECA) is one of most widely used methods in modern engineering system to investigate potential failure modes and its severity upon the system. While performing FMECA, the experts evaluates criticality and severity of each failure mode and visualize the risk level matrix putting those indices to column and row variable respectably. Which results uncertainty in the result. In order to handle the uncertainty and conclude risk level matrix, this paper proposes a new FMECA procedure using minimal cut set (MCS) and fuzzy theory. Severity is calculated by proposed structural importance while criticality is determined by typical equipment failure rate data from IEEE Std 493. Finally, the risk level is compounded of these indices.
Keywords
FMECA; MCS; Structural Importance; Fuzzy Expert System;
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