• DocumentCode
    3408564
  • Title

    The Fault Diagnosis Model of Transformer Which Based on the Technology of Information Fusion

  • Author

    Yishan, Gong ; Bo, Zhang

  • Author_Institution
    Foreign Language Coll., Shenyang Univ. of Technol., Shenyang, China
  • Volume
    1
  • fYear
    2009
  • fDate
    12-14 Aug. 2009
  • Firstpage
    184
  • Lastpage
    187
  • Abstract
    In order to satisfy the fault diagnosis of transformer, here, a fully bran-new diagnosis model of transformer was being put forward, which is based on the technology of information amalgamation, and have got an ideal result through applying it to the fault diagnosis of transformers. In order to get this model, here, through using the measures of DGA method, blur theory, Bayes network, and weighting amalgamation theory, and so on. Which have achieved a perfect goal, definitely, that is, not only can make us diagnose the fault of transformers from the transformerpsilas different parts, but also enhance the precision of fault diagnosis result, decrease the not precision maximumly.
  • Keywords
    Bayes methods; fault diagnosis; power engineering computing; power transformers; sensor fusion; Bayes network; blur theory; fault diagnosis model; information fusion technology; transformer; weighting amalgamation theory; Circuit faults; Educational institutions; Fault diagnosis; Intelligent sensors; Iron; Oil insulation; Power transformer insulation; Power transformers; Sensor phenomena and characterization; Sensor systems; bayes network; dga; iec; information fusion;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-0-7695-3745-0
  • Type

    conf

  • DOI
    10.1109/HIS.2009.44
  • Filename
    5254299