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분포 통계 해석에 의한 계면 결함 부분방전 진단
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  • 분포 통계 해석에 의한 계면 결함 부분방전 진단
저자명
조경순,이강원,김원종,홍진웅,신종열,Cho. Kyung-Soon,Lee. Kang-Won,Kim. Won-Jong,Hong. Jin-Woong,Shin. Jong-Yeol
간행물명
전기전자재료학회논문지
권/호정보
2008년|21권 4호|pp.348-353 (6 pages)
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한국전기전자재료학회
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
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기타언어초록

Most of the high voltage insulation systems, such as the power cable joint having hetero interface, are composed of more than two different insulators to improve insulating performance. The partial discharge(PD) in these hetero interface is expected to affect the total insulation performance. Thus, it is important to study electrical properties on these interfaces. This study described the influence of copper and semiconductive substance defects on $Phi$-q-n distribution between the interface of the model cable joints to classify PD source. PD was sequentially detected for 600 cycles of the applied voltage. The K-means cluster analysis has been analyzed to investigate the $Phi$-q-n distribution. The skewness-kurtosis(Sk-Ku) plot from K-means clustering results was defined to quantify cluster distribution and classify distribution patterns. The Sk-Ku plot is composed of skewness and kurtosis along abscissa and ordinate which indicate the asymmetry and the sharpness of distribution. As a result of the Sk-Ku plot, it was confirmed that the data was distributed in 1st 2nd and 3rd quadrant at copper foreign substance defect, but in case of semiconductive foreign substance, the data was distributed in 2nd quadrant only.