다양한 절연열화 분석을 위한 카오스 분석방법 적용연구

Abstract

In connection with the monitoring of the insu lation degradation of the large power apparatus, a statistical treatment, such as phase resolved partial discharge analysis(PRPDA) has been established for the on-line monitoring system during the past two decades. However, it has shown some inconveniences to d istinguish the nature of the PD source in power apparatus. In this regard, a novel approach based on the chaotic analysis(CAPD) is proposed describing the fundamenta l ideas, outcomes and different view points from conventional PRPDA . In order to make a model for the possible defects causing sudden failures in service, several types of specimen were prepared. And partial discharge signals, originated from those samples, were measured and analyzed by means of PRPDA and CAPD respectively. In this paper, it seems tha t the correlation between the consecutive PD pulses depending on the nature of PD could be investigated by CAPD. Therefore, it could be considered tha t the nature of PD source can be distinguished more distinctively when the PRPDA is combined with CAPD.