• DocumentCode
    1655042
  • Title

    Fault Diagnosis Based on Fuzzy Probability SDG in Complex System

  • Author

    Lin, Zhu ; Jie, Chen ; Wenjie, Chen ; Fang, Deng

  • Author_Institution
    Beijing Inst. of Technol., Beijing
  • fYear
    2007
  • Firstpage
    516
  • Lastpage
    519
  • Abstract
    In large-scale complex system, the fault association is completed and varies with the system working status. In this paper, a new fault description -fuzzy probability SDG model (FPSDG) is proposed by introducing the status association probability and fuzzy information. The modeling method and procedure of diagnosis is also proposed after analyzing the information transfer characteristic of the proposed model. On this basis, the message node and route is introduced to connect the FPSDG of those subsystems, and then the FPSDGS model of whole complex system is constructed. The model can model the complicated association of system malfunction and diagnose. Finally, with the proposed method, a fault diagnosis system of a weapon carrier is built. The experiment result of this system proved the effectivity and utility of this model.
  • Keywords
    fault diagnosis; fuzzy set theory; probability; weapons; fault association; fault diagnosis; fuzzy probability SDG; information transfer characteristic; large-scale complex system; status association probability; weapon carrier; Fault diagnosis; Fuzzy control; Fuzzy systems; Information analysis; Information science; Large-scale systems; Object oriented modeling; Weapons; Fuzzy Probability SDG system; fault diagnosis; object-oriented; status association probability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2007. CCC 2007. Chinese
  • Conference_Location
    Hunan
  • Print_ISBN
    978-7-81124-055-9
  • Electronic_ISBN
    978-7-900719-22-5
  • Type

    conf

  • DOI
    10.1109/CHICC.2006.4347499
  • Filename
    4347499