Title :
An expert system for transformer fault diagnosis using dissolved gas analysis
Author :
Lin, C.E. ; Ling, J.-M. ; Huang, C.L.
Author_Institution :
Cheng Kung Univ., Tainan, Taiwan
fDate :
1/1/1993 12:00:00 AM
Abstract :
A prototype expert system based on the dissolved gas analysis (DGA) technique for diagnosis of suspected transformer faults and their maintenance actions is developed. A synthetic method is proposed to assist the gas ratio method. The uncertainties of key gas analysis, norms threshold, and gas ratio boundaries, are managed by using a fuzzy set concept. The expert system is implemented on a PC-AT using KES with rule-based knowledge representation. The system has been tested to show its effectiveness in transformer diagnosis
Keywords :
automatic testing; electric breakdown of liquids; expert systems; fuzzy set theory; insulating oils; insulation testing; knowledge representation; microcomputer applications; power transformers; transformer insulation; transformer testing; automatic testing; dissolved gas analysis; electric breakdown; expert system; fault diagnosis; fuzzy set theory; gas ratio method; insulating oils; maintenance; microprocessors; norms threshold; power transformers; rule-based knowledge representation; synthetic method; Diagnostic expert systems; Dissolved gas analysis; Fault diagnosis; Fuzzy sets; Oil insulation; Power system relaying; Power transformer insulation; Power transformers; Prototypes; Uncertainty;
Journal_Title :
Power Delivery, IEEE Transactions on
