DocumentCode :
1479675
Title :
New FMECA Methodology Using Structural Importance and Fuzzy Theory
Author :
Lee, Yun-Seong ; Kim, Dong-Jin ; Kim, Jin-O ; Kim, Hyungchul
Author_Institution :
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
Volume :
26
Issue :
4
fYear :
2011
Firstpage :
2364
Lastpage :
2370
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. Although there are several FMECA standards, the most popular one is MIL-STD-1629A from the U.S. Department of Defense. While carrying out FMECA, experts evaluate the severity and criticality of each failure mode and visualize the risk level matrix putting those indices to column and row variable, respectively. This kind of subjective evaluation inevitably brings ambiguity on the result. In order to handle the ambiguity, this paper proposes a new FMECA procedure using proposed structural importance (PSI) and fuzzy theory. The severity is evaluated by structural importance called PSI using minimal cut set objectively, while the criticality is determined by failure rate. Finally, the risk level is compounded of these indices by fuzzy expert system in order to resolve the ambiguity of traditional methods.
Keywords :
expert systems; failure analysis; fuzzy set theory; FMECA standards; MIL-STD-1629A; U.S. Department of Defense; criticality analysis; failure mode effects; fuzzy expert system; fuzzy theory; proposed structural importance; risk level matrix; Current transformers; Fuzzy logic; Indexes; Maintenance engineering; Power system reliability; Standards; Substations; Failure mode effects and criticality analysis (FMECA); failure modes; fuzzy theory; minimal cut set; structural importance;
fLanguage :
English
Journal_Title :
Power Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0885-8950
Type :
jour
DOI :
10.1109/TPWRS.2011.2118772
Filename :
5738367
Link To Document :
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