Research and Application of Fuzzy Expert System on Transformer Fault Diagnosis
Transformer fault diagnosis is the foundation of equipment maintenance in power system. Analysis and judgment of the collection of data which is acquired by condition monitoring on the working process of transformer could conclude and reflect some abnormal trend and circumstance while accompanying the change of actual working situation. In this paper, we design and apply the method of expert system based on fuzzy evaluation theory for the dilemma which diagnose transformer fault both accurately and efficiently. It sets up an expert knowledge representation applicable to feather and working situation of transformer and a rule-matching method in knowledge application. It maximizes the function of the expertise knowledge and experience, and shows a acceptable accuracy and a high performance.
expert system fuzzle evaluation knowledge representation rule-matching transformer fault diagnose
Kehe Wu Sicheng An Gang Ma Yuan Tao
School of Electrical & Electronic Engineering North China Electric Power University Beijing, China School of Control and Computer Engineering North China Electric Power University Beijing, China
国际会议
杭州
英文
378-382
2012-03-23（万方平台首次上网日期，不代表论文的发表时间）