• DocumentCode
    3470355
  • Title

    Large power transformer condition evaluation based on multilevel extension theory

  • Author

    Xie, Qing ; Li, Yanqing ; Xie, Hongling ; Lv, Fangcheng ; Peng, Peng

  • Author_Institution
    North China Electr. Power Univ., Baoding
  • fYear
    2008
  • fDate
    6-9 April 2008
  • Firstpage
    933
  • Lastpage
    936
  • Abstract
    Condition evaluation on large power transformer is an important approach to improve reliability of transformer and provide proper decision-making for condition-based maintenance by means of combining multilevel extension assessment method with influencing factors for transformer condition, a new method of transformer condition evaluation based on multilevel extension assessment was presented in this paper. Extension analytic hierarchy process (EAHP) was applied to calculate the weight of the transformer condition information. At last two examples were taken to prove the evaluation method to be correct and effective.
  • Keywords
    condition monitoring; decision making; power system reliability; power transformer testing; EAHP; condition-based maintenance; decision-making; extension analytic hierarchy process; multilevel extension assessment method; power transformer condition evaluation; transformer reliability; Decision making; Electrical safety; Fuzzy neural networks; Fuzzy reasoning; Fuzzy set theory; Information analysis; Maintenance; Power system reliability; Power transformers; Safety devices; EAHP; condition evaluation; multilevel extension evaluation; transformer; weight;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electric Utility Deregulation and Restructuring and Power Technologies, 2008. DRPT 2008. Third International Conference on
  • Conference_Location
    Nanjuing
  • Print_ISBN
    978-7-900714-13-8
  • Electronic_ISBN
    978-7-900714-13-8
  • Type

    conf

  • DOI
    10.1109/DRPT.2008.4523540
  • Filename
    4523540