• 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