• DocumentCode
    2055551
  • Title

    Investigation of fuzzy criterion for fault feature parameter evaluation of electric power equipment

  • Author

    Yuanfang, Wen ; Xianglian, Yan ; Chun, LIU ; ShiZhu, Zhou ; GuiPing, Li ; Yanying, Xie

  • Author_Institution
    Dept. of Electr. & Electron. Eng., Huazhong Univ. of Sci. & Technol., Wuhan, China
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    209
  • Lastpage
    212
  • Abstract
    This paper studies the selection and evaluation for fault feature parameters of electric power equipment. Based on the fuzzy set theory, fuzzy criterion and fuzzy constellation clustering index for fault diagnostic parameters validity of electric power equipment is presented, and the validation of the fuzzy analytical method is described in the paper by an example
  • Keywords
    fault diagnosis; fuzzy set theory; insulation testing; pattern recognition; power apparatus; electric power equipment; fault diagnostic parameters validity; fault feature parameter evaluation; fault feature parameters; fuzzy constellation clustering index; fuzzy criterion; fuzzy set theory; insulation detection; Clustering methods; Cost accounting; Electrical fault detection; Energy management; Engineering management; Fault diagnosis; Fuzzy set theory; Fuzzy sets; Pattern recognition; Power engineering and energy;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulating Materials, 2001. (ISEIM 2001). Proceedings of 2001 International Symposium on
  • Conference_Location
    Himeji
  • Print_ISBN
    4-88686-053-2
  • Type

    conf

  • DOI
    10.1109/ISEIM.2001.973617
  • Filename
    973617