Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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A Study On the Diagnosis Breakdown Using Fractal Characteristics and the Method of Acoustic Emission in Low Density Polyethylene

프랙탈 특성과 음향방출 계측법을 이용한 LDPE 시료에서의 트리잉 파괴진단에 관한 연구

  • Yoon, H.J. (Department of Electrical Engineering Kwangwoon University) ;
  • Park, J.J. (Department of Computer Science Joong Bu University) ;
  • Shin, S.J. (Department of Computer Science Joong Bu University) ;
  • Choi, J.K. (Department of Electrical Engineering Kwangwoon University) ;
  • Kim, S.H. (Department of Electrical Engineering Kwangwoon University) ;
  • Kim, J.H. (Department of Electrical Engineering Kwangwoon University)
  • 윤헌주 (광운대학교 전기공학과) ;
  • 박재준 (중부대학교 컴퓨터과학부) ;
  • 신승중 (중부대학교 컴퓨터과학부) ;
  • 최재관 (광운대학교 전기공학과) ;
  • 김성홍 (광운대학교 전기공학과) ;
  • 김재환 (광운대학교 전기공학과)
  • Published : 1997.07.21
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Abstract

Automatic detection system to detect acoustic emission pulse and fractal dimension were developed, to observe tree deterioration phenomena in LDPE. The purpose of our work are to use acoustic emission system and fractal dimension and to investigate the treeing phenomena in polymeric insulation under applied AC voltage 11[kV] with an artificial needle-shaped void(1.5[mm]) using the above system. We analyzed and phase angle-acoustic emission pulse amplitude-deterioration time ($\Phi$-AEA-t) pattern and phase angle-acoustic emission pulse number-deterioration time($\Phi$-AEN-t) pattern using statistical operators such as skewness, fractal dimension. In this paper show that the correlation of $\Phi$-AEA-t, $\Phi$-AEN-t, fractal dimension using regression analysis by the method of least squares can be used to predict the breakdown just before the breakdown occurs.

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