The Transactions of the Korean Institute of Electrical Engineers P (전기학회논문지P)

The Korean Institute of Electrical Engineers (대한전기학회)
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Fault Diagnosis of Oil-filled Power Transformer using DGA and Intelligent Probability Model

유중가스 분석법과 지능형 확률모델을 이용한 유입변압기 고장진단

  • Lim, Jae-Yoon (Dept. of Computer Electronics Daeduk College) ;
  • Lee, Dae-Jong (Dept. of Electrical Engineering Korea National University of Transportation) ;
  • Ji, Pyeong-Shik (Dept. of Electrical Engineering Korea National University of Transportation)
  • Received : 2016.07.31
  • Accepted : 2016.08.23
  • Published : 2016.09.01
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Abstract

It has been proven that the dissolved gas analysis (DGA) is the most effective and convenient method to diagnose the transformers. The DGA is a simple, inexpensive, and non intrusive technique. Among the various diagnosis methods, IEC 60599 has been widely used in transformer in service. But this method cannot offer accurate diagnosis for all the faults. This paper proposes a fault diagnosis method of oil-filled power transformers using DGA and Intelligent Probability Model. To demonstrate the validity of the proposed method, experiment is performed and its results are illustrated.

Keywords

References

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