The Transactions of the Korean Institute of Electrical Engineers C (대한전기학회논문지:전기물성ㆍ응용부문C)

The Korean Institute of Electrical Engineers (대한전기학회)
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Aging Diagnosis of Model Coil of HV Induction Motor Using HFPD and Neural Networks

HFPD 및 신경회로망을 이용한 고압 유도전동기 모델코일 열화진단

  • 김덕근 (전남대학교 공대 전기공학과) ;
  • 임장섭 (목포해양대학교 전자·통신공학부) ;
  • 여인선 (전남대학교 공대 전기공학과)
  • Published : 2002.08.01
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Abstract

Many failures in high voltage equipment are preceded by partial discharge activity. In this paper deals with the application of the high frequency partial discharge measurement technique in motorette. HFPD measurement is very effective method to detect the PD occurred in motorette which is the called name of test specimen for accelerating test of stator winding[1] In this study, CT type HFPD sensor is used to detect the partial discharges and a measured HFPD pattern is analyzed by fractal mathematics. The neural network algorithm is used to pattern recognition and ageing diagnosis. As a result of this study, the fractal dimensions are increased along to applied voltage and HFPD pattern recognition using neural network shown excellent recognition rate. Also, the ageing diagnosis of motorette has been Possible.

Keywords

References

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