DocumentCode :
2717664
Title :
A new method for FMECA using expert system and fuzzy theory
Author :
Lee, Yun-Seong ; Kim, Hyung-Chul ; Cha, Jun-Min ; Kim, Jin-O
Author_Institution :
Dept. of Electr. Eng., Hanyang Univ., Seoul, South Korea
fYear :
2010
fDate :
16-19 May 2010
Firstpage :
293
Lastpage :
296
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 U.S. department of defense. While carrying out FMECA, experts evaluate criticality and severity 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 ambiguousness on the result. In order to handle the ambiguousness, this paper proposes a new FMECA procedure using Proposed Structural Importance (PSI) and fuzzy theory. Severity is evaluated by structural importance called PSI using minimal cut set, while criticality is determined by failure rate. Finally, the risk level is compounded of these indices by fuzzy expert system in order to resolve the ambiguousness of traditional methods.
Keywords :
Expert systems; Failure analysis; Fuzzy logic; Fuzzy set theory; Fuzzy systems; Hybrid intelligent systems; Maintenance; Railway engineering; Systems engineering and theory; Visualization; Expert System; FMECA; Failure Modes; Fuzzy Theory; Minimal Cut Set; Structural Importance;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Environment and Electrical Engineering (EEEIC), 2010 9th International Conference on
Conference_Location :
Prague, Czech Republic
Print_ISBN :
978-1-4244-5370-2
Electronic_ISBN :
978-1-4244-5371-9
Type :
conf
DOI :
10.1109/EEEIC.2010.5489997
Filename :
5489997
Link To Document :
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