기중방전의 방전원별 특성분석 및 패턴분류

Properties and Classification of Patterns of Air Discharges

  • 박영국 (충북대 대학원 전기공학과) ;
  • 이광우 (충북대 대학원 전기공학과) ;
  • 장동욱 (충북대 대학원 전기공학과) ;
  • 강성화 (충청대학 산업안전과) ;
  • 정광호 (충북대 대학원 전기공학과) ;
  • 김완수 (충북대 대학원 전기공학과) ;
  • 이용희 (충북대 대학원 전기공학과) ;
  • 임기조 (충남대 전기전자공학부)
  • 발행 : 2000.01.01

초록

Partial discharges(PD)in air insulated electric power apparatus often lead to deterioration of solid insulation by electron bombardments and electrochemical reaction. The PD caused to reduce the life time of power apparatus and to increase power losses. Thus understanding and classification of PD patterns in air are very important to discern sources of PD. In this paper, PD in air by using statistical methods was investigated. We classified air discharges, corona, surface discharges and cavity discharges by Kohonen network. For classification of PD patterns, we used statistical operators and parameters such as skewness$(S^+,\; S^-),\; kurtosis(K^+, K^-),\; mean phase(AP^+, AP^-)$, cross-correlation factor(CC) and asymmetry derived from the mean pulse-height phase distribution$(H_{avg}(\phi))$, the max pulse-height phase distribution $(H_{qmax}(\phi))$, the pulse count phase distribution $(H_n(\phi))$ and the pulse height vs. Repetition rate $(H_q(n))$.

키워드

참고문헌

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