• DocumentCode
    2057772
  • Title

    Importance evaluation method on the fault modes of power transformer based on trapezoidal fuzzy number

  • Author

    Jun Liu ; Wei-gen Chen ; Jing-jing Zhou

  • fYear
    2012
  • fDate
    10-14 Sept. 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    The fault modes of the components of the power transformer is complex and highly correlated, and the implementation of reliability tests is difficult because of the high value of the equipment, so it is hard to make importance evaluation by using traditional method. Aiming at those problems, a new evaluation method on importance based on trapezoidal fuzzy number is proposed in this paper. Firstly, the evaluation index system of importance is established which using the Delphi method to formulate the score rating criteria and applying the coordination degree to amend the scores. Secondly, the trapezoidal fuzzy numbers is applied to determine the weight indicator. Last, the importance of each failure mode of transformer is determined on the basis of the indicator combining with the weight through the linear weighting method. It is shown by the instance that this method is convenient and effective, which can be used in making the reliability evaluation and maintenance decision of the power transformer.
  • Keywords
    decision making; failure analysis; fault diagnosis; fuzzy set theory; power transformers; Delphi method; evaluation index system; failure mode; fault modes; importance evaluation method; linear weighting method; maintenance decision making; power transformer; reliability evaluation; reliability tests; score rating criteria; trapezoidal fuzzy number; weight indicator; coefficient of variation; failure mode; importance; power transformer; trapezoidal fuzzy number;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electricity Distribution (CICED), 2012 China International Conference on
  • Conference_Location
    Shanghai
  • ISSN
    2161-7481
  • Print_ISBN
    978-1-4673-6065-4
  • Electronic_ISBN
    2161-7481
  • Type

    conf

  • DOI
    10.1109/CICED.2012.6508477
  • Filename
    6508477