• DocumentCode
    2553651
  • Title

    Fault diagnosis method for power transformers based on rough set theory

  • Author

    Huang, Wentao ; Wang, Weijie ; Meng, Qingxin

  • Author_Institution
    Harbin Eng. Univ., Harbin
  • fYear
    2008
  • fDate
    2-4 July 2008
  • Firstpage
    468
  • Lastpage
    472
  • Abstract
    In order to make reasoning and decision under the condition of inconsistent fault diagnosis information, fault diagnosis method for power transformers based on rough set theory is presented. According to the definition of fault diagnosis decision system, a decision network with different reduced levels is constructed to denote the fault diagnosis problems of the power transformers. The diagnostic decision rules at each node are deduced. When the decision network is applied to fault diagnosis of a new case, the diagnostic conclusion is obtained by matching the information of the new case with the diagnostic decision rules of the relative network nodes. Even when the information of fault diagnosis is incomplete, the diagnosis results are correct. The availability of this method is proved by a fault diagnosis example of the power transformers.
  • Keywords
    fault diagnosis; power transformers; rough set theory; diagnostic decision rules; fault diagnosis method; information matching; power transformers; rough set theory; Fault diagnosis; Power engineering and energy; Power transformers; Set theory; decision rule; fault diagnosis; power transformers; rough set theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference, 2008. CCDC 2008. Chinese
  • Conference_Location
    Yantai, Shandong
  • Print_ISBN
    978-1-4244-1733-9
  • Electronic_ISBN
    978-1-4244-1734-6
  • Type

    conf

  • DOI
    10.1109/CCDC.2008.4597354
  • Filename
    4597354