• DocumentCode
    2913569
  • Title

    Complex electromechanical system fault diagnosis based on the Grey Petri Nets

  • Author

    Guo, Ya-zhong ; Zuo, Hong-fu ; Bai, Lu

  • Author_Institution
    Nanjing Univ. of Aeronaut. & Astronaut., Nanjing
  • fYear
    2007
  • fDate
    18-20 Nov. 2007
  • Firstpage
    887
  • Lastpage
    891
  • Abstract
    Fault diagnosis is the important work and research hotpots for a complex system. Because the traditional methods are not suitable to the complex system, the synthesis methods of Grey clustering theory and Petri nets are presented based on the characteristics of complex system. The model of Grey Petri Nets is put up. Fault diagnosis based Grey Petri Nets pays more attention to the datum of complex system and the method of fault diagnosis about complex system is described in detail. Example of the flight control system of the aircraft shows that the fault diagnosis method of complex system based on the Grey Petri Nets is feasible.
  • Keywords
    fault diagnosis; fuzzy set theory; grey systems; inference mechanisms; maintenance engineering; mechanical engineering computing; pattern clustering; stochastic processes; complex electromechanical system fault diagnosis; diagnosis reasoning process; grey Petri nets; grey clustering theory; stochastic Petri nets; Aerospace control; Aircraft; Clustering algorithms; Control system synthesis; Electromechanical systems; Failure analysis; Fault diagnosis; Intelligent systems; Petri nets; System testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Grey Systems and Intelligent Services, 2007. GSIS 2007. IEEE International Conference on
  • Conference_Location
    Nanjing
  • Print_ISBN
    978-1-4244-1294-5
  • Electronic_ISBN
    978-1-4244-1294-5
  • Type

    conf

  • DOI
    10.1109/GSIS.2007.4443401
  • Filename
    4443401