• DocumentCode
    1820368
  • Title

    Synthetic analysis technique of oil-impregnated insulation

  • Author

    Dong, M. ; Yan, Z. ; Taniguchi, Yasuhiko

  • Author_Institution
    Sch. of Electr. Eng., Xi´´an Jiaotong Univ., China
  • Volume
    1
  • fYear
    2003
  • fDate
    1-5 June 2003
  • Firstpage
    455
  • Abstract
    Insulation analysis is a comprehensive issue that relates theory and knowledge in many fields, sometimes achieving an accurate conclusion is still a problem yet unsolved. In this paper, a comprehensive analysis scheme based on the fuzzy logic is presented to synthesize more information came from both off-line tests and on-line monitoring, at the same time data mining is also used to find latent knowledge out. To combine various methods in systematically way, the fuzzy reasoning is adopted in this framework to manage the inherent uncertainty in various methods and semantic experiences accumulated by experts. The case studies show that this scheme is efficient and flexible.
  • Keywords
    impregnated insulation; insulating oils; power transformers; data mining; fuzzy logic; fuzzy reasoning; oil-impregnated insulation; power transformers; Costs; Degradation; Dielectrics and electrical insulation; Fuzzy logic; Information analysis; Insulation testing; Maintenance; Oil insulation; Petroleum; Power system reliability;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Properties and Applications of Dielectric Materials, 2003. Proceedings of the 7th International Conference on
  • ISSN
    1081-7735
  • Print_ISBN
    0-7803-7725-7
  • Type

    conf

  • DOI
    10.1109/ICPADM.2003.1218449
  • Filename
    1218449