• DocumentCode
    2318242
  • Title

    GIS based multilevel intelligent fault diagnosis system on electric power equipment

  • Author

    An, Wendou ; Sun, Caixin ; Zhou, Quan ; Yang, Ji

  • Author_Institution
    Key Lab of High Voltage Eng. & Electr. New Technol., Chongqing Univ., China
  • fYear
    2004
  • fDate
    19-22 Sept. 2004
  • Firstpage
    398
  • Lastpage
    401
  • Abstract
    Along with the application which AM/FM/GIS has been used in distribution network strengthening, at present it has become a technique development direction that SCADA should integrate with AM/FM/GIS. In pace with electrified wire netting scale growing immensely, the equipment requirements are increasing and their function is more and more advanced. It can not satisfy the requirements of a practical system to adopt traditional concentrated and single fault diagnosis methods. We designed a distributed multilevel intelligent fault diagnosis method in this paper. First resolve the equipment fault diagnosis of the whole system into a fault diagnosis of each subsystem, then, according to the characteristic of the equipment type, transfer many sorts of fault diagnosis means from the knowledge-base to carry on cooperation fault diagnosis under the control of multilevel intelligent fault diagnosis tactics. Leave the final diagnosis result with a fault database to offer system-making-policy and alarm information.
  • Keywords
    SCADA systems; fault diagnosis; geographic information systems; power apparatus; power distribution faults; power system analysis computing; AM; FM; GIS; SCADA; distribution network; electric power equipment; geographic information system; multilevel intelligent fault diagnosis system; Circuit faults; Fault diagnosis; Geographic Information Systems; Information analysis; Intelligent networks; Intelligent systems; Power system reliability; Real time systems; Spatial databases; Wire;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation, 2004. Conference Record of the 2004 IEEE International Symposium on
  • ISSN
    1089-084X
  • Print_ISBN
    0-7803-8447-4
  • Type

    conf

  • DOI
    10.1109/ELINSL.2004.1380612
  • Filename
    1380612