Development of Expert System to Diagnose and Monitor 765KV Power Apparatus in On-line Condition

765KV 변전설비 운전중 상태감시 및 진단을 위한 전문가시스템 개발

  • Published : 2001.11.01

Abstract

In this paper, we described the export system to monitor and diagnose 765KV power apparatus. To develop this expert system, we studied the knowledge bases and data bases for 765KV transformer and GIS. In order to make the reliable inference of knowledge base and the good MMI(Man Machine Interface), the data bases were consisted of the tables of power apparatus information, limit level value, measured input data, inference result and diagnosis result. The knowledge base had various rules to infer the conditions of transformer and GIS. We applied both the forward chaining and backward chaining methods to these rules of system for good inferences. This paper describes the applied methods for expert system. Also, this developed system was tested with dissolved gas analyzing result and the result was shown.

Keywords

Expert System;Transformer;GIS;Knowledge Base;Monitoring;Inference

References

  1. 고윤석 외 2인, '철도 전자연동장치의 고신뢰화를 위한 실시간 전문가시스템', 대한 전기학회논문, 48A권 11호, pp.1457-1463, 1999.11
  2. 김화수 외 2인, '전문가시스템', 집문당, 1998.8
  3. Yann-Chang Huang et al 2, 'Developing a new transformer fault diagnosis system through evolutionary fuzzy logic', IEEE Trans. Power Delivery Vol. 12, No. 2, April 1997 pp.761-767 https://doi.org/10.1109/61.584363
  4. T. Sakaguchi, K. Matsumoto, 'Development of a Knowledge based system for power system restoration', IEEE Trans Power Apparatus and System, Vol. PAS-102, No.2 pp. 320 - 329
  5. Syed Mofizu Islam et al 2, 'A new fuzzy logic approach to transformer fault diagnosis', IEEE Trans. Dielectric and Electrical Insulation Vol. 7, No.2, April 2000 pp. 177-186 https://doi.org/10.1109/94.841806
  6. 한국전력, '765kV 변전기기 예방진단 시스템개발 1차년도 보고서', 1999.11
  7. E. H. Shrtliffe, 'Computer Based Medical Consultation : MYCIN', Artificial Intelligence Series 2, Elsevier, 1976