The Analysis of PD Signal using Neural Network

신경회로망을 이용한 부분방전 신호의 패턴분석

  • 김종서 (동신대학교 전기전자공학과) ;
  • 박용필 (동신대학교 전기전자공학) ;
  • 천민우 (동신대학교 전기전자공학과)
  • Published : 2004.05.01


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.


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