• DocumentCode
    1769242
  • Title

    FMMEA automation based on function flow modeling

  • Author

    Jianmin Liu ; Yuanhong Liu ; Jiang, Pingping ; Feng, FuZhou

  • Author_Institution
    Dept. of Training, Acad. of Armored Force Eng., Beijing, China
  • fYear
    2014
  • fDate
    24-27 Aug. 2014
  • Firstpage
    482
  • Lastpage
    487
  • Abstract
    Since traditional failure mode and effect analysis (FMEA) methods could not identify failure mechanism, and are weak to analysis failure cause, to identify potential failure mode, and to reason failure effect, a novel failure mechanisms, modes and effects analysis (FMMEA) method is presented in this paper. Firstly, a function model based on function basis is created, in accordance with system structure, function and internal material flow, energy flow, signal flow and other information. Then, component failure information is added to compose the system function flow model. Based on the model, the failure mode propagated tables are obtained using fuzzy cognitive map theory. Finally, a fuel supply system is analyzed to verify the feasibility and effectiveness of this method.
  • Keywords
    failure analysis; fuzzy set theory; FMMEA automation; FMMEA method; component failure information; failure mechanism mode and effect analysis; fuel supply system; function flow modelling; fuzzy cognitive map theory; system function flow model; Assembly; Circuit faults; Degradation; Failure analysis; Fuel storage; Fuels; Valves; failure mechanism; failure mode; function flow model; fuzzy cognitive map;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Prognostics and System Health Management Conference (PHM-2014 Hunan), 2014
  • Conference_Location
    Zhangiiaijie
  • Print_ISBN
    978-1-4799-7957-8
  • Type

    conf

  • DOI
    10.1109/PHM.2014.6988220
  • Filename
    6988220