• DocumentCode
    672961
  • Title

    The Research of System Reliability Calculation Method Based on the Improved Petri Net

  • Author

    Yanhui Wang ; Man Li ; Lijie Li

  • Author_Institution
    State Key Lab. of Rail Traffic Control & Safety, Beijing Jiaotong Univ., Beijing, China
  • fYear
    2013
  • fDate
    16-17 Nov. 2013
  • Firstpage
    279
  • Lastpage
    281
  • Abstract
    System reliability analysis becomes one hot topic of research in recent years. This paper takes advantage of the characteristics of high speed bullet train fault, on the basis of the weighted fuzzy production rule and fuzzy petri net, and puts forward a weighted fuzzy petri net model. It is used for diagnostic knowledge representation and reasoning. This model can effectively deal with the issues of the complicated relationship between the fault of imprecise information and the signs. The analysis technology of petri nets Described in discrete event dynamic systems is applied to the high-speed train reliability analysis. It provides a new method to resolve the problem of system reliability.
  • Keywords
    Petri nets; fault diagnosis; fuzzy reasoning; fuzzy set theory; knowledge representation; mechanical engineering computing; railway engineering; reliability; systems analysis; diagnostic knowledge representation; discrete event dynamic systems; high speed bullet train fault; high-speed train reliability analysis; improved Petri net; reasoning; system reliability analysis; system reliability calculation method; weighted fuzzy Petri net model; weighted fuzzy production rule; Gears; Maintenance engineering; Petri nets; Reliability; Safety; Shock absorbers; Complex system; Fuzzy Petri net; Reliability; Weighted fuzzy production;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology and Applications (ITA), 2013 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4799-2876-7
  • Type

    conf

  • DOI
    10.1109/ITA.2013.72
  • Filename
    6709988