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The Analysis of PD Signal using Neural Network

신경회로망을 이용한 부분방전 신호의 패턴분석

  • 김종서 ;
  • 박용필 ;
  • 천민우
  • Published : 2004.05.01

Abstract

Recently, GIS(Gas Insulated Switchgear) has been recognizing of importance on development of diagnosis technique which is happened problem on confidence for a long time use. Therefore, the measurement and analysis of PD with prior phenomenon of insulation breakdown is used many method of diagnosis for GIS. In this paper, we simulate trouble condition in DS and analysis trouble signal to use electrical and mechanical methods, interpretation of detected signal has analysed with to use ø-q-n pattern and neural network. For this analysis, we have used the induction and AE(acoustic emission) sensors. For the simulation experiment, we make DS for 170 KV GIS and analyze the classification and characteristics of detected signals with the application of neural network algorithm.

Keywords

Partial Discharge(PD);Neural Network;Gas Insulated Switchgear(GIS);Disconnector

References

  1. IEEE Transactions on industry applications v.37 no.1 Partial Discharge Theory and Technologies Related to Medium-voltage Electrical Equipment Gabriel J. Paoletti;Alexander Golubev https://doi.org/10.1109/28.903131
  2. IEEE Transactions on dielectrics and electrical insulation v.4 Activity of moving metallid particles in prebreakdown state in GIS W,Ziomek
  3. IEEE Transactions on Dielectrics and Electrical Insulation v.9 no.4 Impulse partial discharge and breakdown characteristics of rod-plane-gaps in N2/SF6 gas mixtures H.Saitoh;K.Morita
  4. 신경망 이론과 응용(Ⅰ) 김대수
  5. 전기전자재료학회논문지 v.14 no.12 변압기 부분방전 상시 감시기법에 관한 연구 권동진;박재준
  6. 전기전자재료학회논문지 v.11 no.10 신경망을 이용한 보이드 결함에 의한 열화진단 최재관;김성홍;김재환
  7. 전기전자재료학회논문지 v.7 no.1 전력용기기의 예방진단을 위한 부분방전 측정 김태성;구할본;임장섭;정우성