Fault diagnosis of power transformers: Application of fuzzy set theory, expert systems and artificial neural networks

被引：44
作者：
Xu, W
Wang, D
Zhou, Z
Chen, H
机构：
[1] Department of Electrical Engineering, Southeastern University
来源：
IEE PROCEEDINGS-SCIENCE MEASUREMENT AND TECHNOLOGY | 1997年 / 144卷 / 01期
关键词：
artificial neural network; fuzzy set; expert system; fault diagnosis; transformer;
D O I：
10.1049/ip-smt:19970856
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The application of fuzzy set theory, expert systems and artificial neural networks to fault diagnosis of power transformers is introduced, and uncertain reasoning and the combination between ES and ANN are studied. Uncertain reasoning is the main diagnostic method. The ES/ANN combination, called the consultative mechanism, can help to improve the correctness of the diagnosis and ensure the accuracy of the knowledge base. Experimental results are given which verify the proposed method.
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页码：39 / 44
页数：6
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