• DocumentCode
    2995735
  • Title

    Mechanism of intelligent fault diagnosis system of electric power communication network

  • Author

    Sun, Guozhong ; Chen, Junlin ; Xi, Yonggang ; Gao, Qiang ; Hou, Sizu

  • Author_Institution
    Dept. of Electron. Eng., North China Electric Power Univ., Baoding, China
  • fYear
    2000
  • fDate
    2000
  • Firstpage
    78
  • Lastpage
    81
  • Abstract
    A fault diagnosis system is important for the normal running of an electric power communication network. Firstly this paper put forwards the background and necessity of such a system´s development. Then discussed is the ANN subsystem. Its function is to create ANN samples and weights database. Thirdly, this paper presents the graphic creating subsystem which is mainly to create the network´s topology graphic and connecting database. Fourthly, this paper explains the KB management subsystem that is to maintain the knowledge database used by ES. Fifthly this paper elaborates the main diagnosis system that is to receive alarms sent by supervising system server and to carry out real-time diagnosis. Finally, this paper introduces a system application
  • Keywords
    fault diagnosis; knowledge based systems; neural nets; power systems; real-time systems; telecommunication computing; telecommunication network management; ANN subsystem; KB management subsystem; alarms; electric power communication network; graphic creating subsystem; intelligent fault diagnosis system; knowledge database; real-time diagnosis; supervising system server; weights database; Communication networks; Databases; Fault diagnosis; Graphics; Intelligent systems; Joining processes; Knowledge management; Network servers; Network topology; Real time systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2000. IEEE APCCAS 2000. The 2000 IEEE Asia-Pacific Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    0-7803-6253-5
  • Type

    conf

  • DOI
    10.1109/APCCAS.2000.913410
  • Filename
    913410