Intelligent Diagnosis System for DGA Using Fuzzy Pattern Classification and Neural Network

퍼지 패턴 분류와 뉴럴 네트워크를 이용한 지능형 유중가스 판정 시스템

  • Published : 2007.12.01

Abstract

The DGA (Dissolved Gases Analysis) technique has been widely using for fault diagnosis of the power transformers. Some electric power utility company establishes the criteria of DGA to improve reliability, because of difference of operation environment and design of power transformer. In this paper, we introduce intelligent diagnosis system for DGA result of KEPCO (Korea Electric Power Cooperation). This system can classify patterns type of gases ratio that frequently occurs in recent result of gases analysis using Fuzzy Inference. The classification of Patterns let us know that major causes of gases generation based on type of patterns. Finally, Neural Network based on patterns diagnose transformer. NN was trained using result data of DGA of actually faulted transformers recently. Result of intelligent diagnosis system is right well in comparison with actual inner inspection of transformers.

Keywords

References

  1. '주변압기 운영기준', 한국전력공사 송변전처, pp.1-43, 2002
  2. 권동진 외 '변압기 절연유 가스분석과 고장원인 검토', 대한전기학회논문지 전기물성 응용부문C, 1229-246X, 제54권 8호, pp.343-349, 2005
  3. J H. Sun el, 'Neural Network Based Dissolved Gas Analysis Using Gas Composition Patterns Against Fault Causes' KIEE International Transactions on EA, Vol. 3-C No.4, pp.130-135, 2003
  4. Zhenyuan Wang 'Neural net and expert system diagnose transformer faults', IEEE Computer Applications in Power Vol. 13 Issue 1, pp 50-55, 2000 Jan https://doi.org/10.1109/67.814667
  5. M. H. Wang, 'Extension neural network for power transformer incipient fault diagnosis', IEE Proc. -Gener. Transm. Distrb., Vol 150, No. 6, 2003 November
  6. 전영재, 김재철, '전력용 변압기의 유중가스 분석을 위한 LVQ3의 적용', 대한전기학회논문지 전력기술부문A, 1229-2443, 제49권 1호, pp. 31-36, 2000
  7. 윤용한, 김재철, '유중 가스 분석을 이용한 전력용 변압기 고장 진단 전문가 시스템', 한국조명전기설비학회지:조명전기설비, 1225-1135 , 제11권2호, pp.80-88 , 1997
  8. M. Duval, 'Dissolved gas analysis : It can save your transformer', IEEE electrical insulation magazine, Volume 5, Issue 6, Page(s):22 - 27, Nov.-Dec. 1989
  9. 'IEEE Guide for the interpretation of Gases Generated in Oil-Immersed Transformers', IEEE Std C57.104-1991 (ANSI)
  10. 'Mineral oil-impregnated electrical equipment in service - Guide to the interpretation of dissolved and free gases analysis', IEC60599, 1999