• DocumentCode
    2249999
  • Title

    Research on the application of fuzzy fault tree analysis method in the machinery equipment fault diagnosis

  • Author

    Yuliang, Chen ; Tiejun, Zhang

  • Author_Institution
    Coll. of Light Ind., Hebei Polytech. Univ., Tangshan, China
  • Volume
    1
  • fYear
    2010
  • fDate
    6-7 March 2010
  • Firstpage
    84
  • Lastpage
    87
  • Abstract
    At present, many large-scale mechanical system has complex structure, which makes the fault of it has characteristics of complexity, ambiguity and uncertainty. Based on the introduction of basic theory of the fuzzy fault tree analysis method and aim at the characteristics of ambiguity and uncertainty of the mechanical failure probability, the paper introduced fuzzy set theory into mechanical fault tree analysis and scientifically analyzed the various kinds of fuzzy information that be confronted by the failure of many tache of the mechanical equipment. In addition, a material example of the application of fuzzy fault tree analysis method in the mechanical fault diagnosis system was also provided. The test proves that the method can analyze and process random uncertainty and fuzzy uncertainty failure event at the same time, which can effectively solve the problems of complexity, ambiguity and uncertainty of mechanical faults.
  • Keywords
    failure (mechanical); fault diagnosis; fault trees; fuzzy set theory; machinery; probability; fuzzy fault tree analysis method; fuzzy set theory; fuzzy uncertainty failure; large-scale mechanical system; machinery equipment fault diagnosis; mechanical equipment; mechanical failure probability; mechanical faults; Failure analysis; Fault diagnosis; Fault trees; Fuzzy set theory; Fuzzy systems; Information analysis; Large-scale systems; Machinery; Mechanical systems; Uncertainty; fault diagnosis; fuzzy fault tree analysis; fuzzy number; mechanical equipment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
  • Conference_Location
    Wuhan
  • ISSN
    1948-3414
  • Print_ISBN
    978-1-4244-5192-0
  • Electronic_ISBN
    1948-3414
  • Type

    conf

  • DOI
    10.1109/CAR.2010.5456771
  • Filename
    5456771