• DocumentCode
    2997668
  • Title

    Fault diagnosis for transformer based on fuzzy entropy

  • Author

    Sheng, J.L. ; Zhou, M.S. ; Guo, Z.P. ; Liu, Z.

  • Author_Institution
    Southwest Jiaotong Univ., Chengdu
  • fYear
    2007
  • fDate
    14-17 Oct. 2007
  • Firstpage
    759
  • Lastpage
    762
  • Abstract
    Power transformers are one of the key equipments of the power system, so it is valuable to discover the incipient fault timely and truly. Code deficiency exists in the gas ratio method by the IEC/DEEE standard and fault diagnosis for power transformers. A model based on fuzzy entropy for power transformer faults diagnosis is put forward, which expand coding bound of original IEC three-ratio. At the same time, the method has some contain fault ability in a certain degree. It also shows the probability and disposes lost or false power transformer fault symptoms. That shows the validity of the method for power transformer fault diagnosis by dissolved gas-in-oil analysis.
  • Keywords
    fault diagnosis; fuzzy set theory; power transformers; IEC-DEEE standard; code deficiency; fault diagnosis; fuzzy entropy; fuzzy subsets; gas-in-oil analysis; power system; power transformers; Dissolved gas analysis; Educational institutions; Electric breakdown; Entropy; Fault diagnosis; IEC standards; Oil insulation; Power system modeling; Power transformer insulation; Power transformers; dissolved gas-in-oil analysis; fault diagnosis; fuzzy entropy; power transformer;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electrical Insulation and Dielectric Phenomena, 2007. CEIDP 2007. Annual Report - Conference on
  • Conference_Location
    Vancouver, BC
  • Print_ISBN
    978-1-4244-1482-6
  • Electronic_ISBN
    978-1-4244-1482-6
  • Type

    conf

  • DOI
    10.1109/CEIDP.2007.4451608
  • Filename
    4451608