Fatten Analysis of Trouble Signal on DS for GIS using Neural Network

신경회로망을 이용한 GIS용 단로기의 이상신호 패턴분석

  • 김종서 (한국전기안전공사 전기안전연구원) ;
  • 이은석 (한국전기안전공사 전기안전연구원) ;
  • 천종철 (한국전기안전공사 전기안전연구원)
  • Published : 2003.12.01


GIS(Gas Insulated Switchgear) is power equipment with excellent dielectric strength and is economy merit in high confidence and stability. But, because of structural characteristics, this is difficult to monitor externally and provide much loss in the event of an accident. Recently, because equipment of GIS is occurring problem of confidence used for a long time, development of diagnosis technique have been importantly recognized. therefore, measurement and analysis of PD much has been generally used for equipment of GIS. But, in case of measurement of PD at field, real trouble signals is difficult to classify noise. Accordingly, a variety of trouble conditions for DS are simulated, and detected signals are analyzed by the application of electrical and mechanical methods. For this analysis, detected signals are accumulated according to phase-magnitude with the application of induction sensor, and then we analyzed the characteristics. For the simulation experiment, we make DS for 170KV GIS and analyze the characteristics of detected signals with the application of neural network algorithm. last, we have measured DS for GIS at field, and then have analyzed detected signals.


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