• DocumentCode
    2950426
  • Title

    Power Transformer State Assessment Based on Grey Target Theory

  • Author

    Li, Jianpo ; Chen, Xiaojuan ; Wu, Chunming

  • Author_Institution
    Inf. Eng. Coll., Northeast Dianli Univ., Jilin, China
  • Volume
    2
  • fYear
    2009
  • fDate
    11-12 April 2009
  • Firstpage
    664
  • Lastpage
    667
  • Abstract
    The state assessment of power transformer is the precondition and key to realize power transformer maintenance. The fault system of power transformer can be recognized as a typical grey system. A new method is given to recognize power transformer state without the standard fault model. It introduces grey target theory into state assignment of power transformer. Combining the popular technology of dissolved gases analyses, the arithmetic step for state assessment of power transformer is given. The method uses variable weight to replace equal weight, which is closer to the actual state of power transformer. Variable weight is ascertained by grey target contribution degree technology. The experiment results show it is a new and available method for state assessment of power transformer without the standard fault model, and its validity and efficiency is proved by many examples.
  • Keywords
    fault diagnosis; grey systems; maintenance engineering; power transformers; state assignment; fault system; grey target contribution degree technology; grey target theory; power transformer maintenance; power transformer state assessment; standard fault model; state assignment; Dissolved gas analysis; Gases; Heart; Maintenance; Power measurement; Power system faults; Power system modeling; Power system reliability; Power transformers; Uncertainty; grey target theory; power transformer; state assessment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
  • Conference_Location
    Zhangjiajie, Hunan
  • Print_ISBN
    978-0-7695-3583-8
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2009.485
  • Filename
    5203521