이물 낙하법에 의한 GIS 초음파 진단 기술 연구

A Study on the Technology to Diagnose GIS with Acoustic Emission by Dropping Particles Method

  • 김광화 (한국전기연구소 신전력기기그룹) ;
  • 최재구 (한국전기연구소 시험기술연구실) ;
  • 선종호 (한국전기연구소 시험기술연구실) ;
  • 김익수 (한국전기연구소 신전력기기그룹) ;
  • 윤진열 (한전 전력연구원) ;
  • 박기준 (한전 전력연구원)
  • 발행 : 2002.06.01

초록

This paper describes the acoustic emission measurement method to diagnose GIS for particles. We measured and analyzed the signals of acoustic waves using acoustic two types sensors with 125KHz and 50KHz resonant frequency respectively when the particles were dropped on the surfaces of circular plates and inside of GlS tanks. We found that the difference between peak outputs of two sensors depended on the types and materials of particles and the conditions of dropping position. These results showed that the outputs of 125KHz sensor were higher than those of 50KHz sensor in circular plate and 362㎸ GIS tank made of steel and vice versa in circular plate and 800㎸ GIS tank made of aluminum. The ratios outputs of 125KHz sensor to those of 50KHz sensor were 1.4 - 2.37 in 800㎸ GIS tank and were 0.5 - 1.0 in 362㎸ GIS tank. Therefore we knew that adaption of two types acoustic sensors which had different resonant frequencies as a very useful method in diagnosis of GIS.

키워드

참고문헌

  1. 이종락, 초음파와 그 사용법, 도서출판 세화, pp. 44-47, 1997
  2. Michael R. Gorman and William H. Prosser, 'AE Source Orientation by Plate Wave Analysis', Journal of Acoustics Emission, Vol. 9, No. 4, pp. 283-288, 1990
  3. L.E. Lundgaard, 'Partial Discharge - Part VIII: Acoustic Partial Discharge Detection - Fundamental Considerations', IEEE Electrical Insulation Magazine July/Aust 1992-Vol. 8, No 4, pp. 25-31 https://doi.org/10.1109/57.145095
  4. CIGRE TF 15/33/03.05, 'Partial Discharge Detection System for GIS : Sensitivity Verification for the UHF Method and the Acoustic Method', Electra No. 183, pp. 75-87, April 1999
  5. T. Kwamura et al., 'Development of GIS diagnosis and on-site testing', CIGRE 23/33-01, 1992
  6. T. Hucher, H.-G. Kranz, 'New approach in partial discharge diagnosis and pattern recognition', IEE Proc.-Sci. Meas. Technol. Vol. 142 No. 1, January 1995. pp89-94 https://doi.org/10.1049/ip-smt:19951431