Evolutionary computation based fuzzy fault diagnosis system for power transformer

Y. C. Huang, H. T. Yang, C. L. Huang

研究成果: Paper

2 引文 (Scopus)

摘要

To improve the diagnosis accuracy of the conventional dissolved gas analysis (DGA) approaches, this paper proposes an evolutionary programming (EP) based fuzzy system development technique to identify the incipient faults of the power transformers. In comparison to results of the conventional DGA and the artificial neural networks (ANN) classification methods, the proposed method has been verified to possess superior performance both in developing the diagnosis system and in identifying the practical transformer fault cases.

原文English
頁面218-223
頁數6
出版狀態Published - 1996 十二月 1
事件Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan
持續時間: 1996 十二月 111996 十二月 14

Other

OtherProceedings of the 1996 Asian Fuzzy Systems Symposium
城市Kenting, Taiwan
期間96-12-1196-12-14

指紋

Gas fuel analysis
Power transformers
Evolutionary algorithms
Failure analysis
Fuzzy systems
Neural networks

All Science Journal Classification (ASJC) codes

  • Engineering(all)

引用此文

Huang, Y. C., Yang, H. T., & Huang, C. L. (1996). Evolutionary computation based fuzzy fault diagnosis system for power transformer. 218-223. 論文發表於 Proceedings of the 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, .
Huang, Y. C. ; Yang, H. T. ; Huang, C. L. / Evolutionary computation based fuzzy fault diagnosis system for power transformer. 論文發表於 Proceedings of the 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, .6 p.
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Huang, YC, Yang, HT & Huang, CL 1996, 'Evolutionary computation based fuzzy fault diagnosis system for power transformer', 論文發表於 Proceedings of the 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, 96-12-11 - 96-12-14 頁 218-223.

Evolutionary computation based fuzzy fault diagnosis system for power transformer. / Huang, Y. C.; Yang, H. T.; Huang, C. L.

1996. 218-223 論文發表於 Proceedings of the 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, .

研究成果: Paper

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N2 - To improve the diagnosis accuracy of the conventional dissolved gas analysis (DGA) approaches, this paper proposes an evolutionary programming (EP) based fuzzy system development technique to identify the incipient faults of the power transformers. In comparison to results of the conventional DGA and the artificial neural networks (ANN) classification methods, the proposed method has been verified to possess superior performance both in developing the diagnosis system and in identifying the practical transformer fault cases.

AB - To improve the diagnosis accuracy of the conventional dissolved gas analysis (DGA) approaches, this paper proposes an evolutionary programming (EP) based fuzzy system development technique to identify the incipient faults of the power transformers. In comparison to results of the conventional DGA and the artificial neural networks (ANN) classification methods, the proposed method has been verified to possess superior performance both in developing the diagnosis system and in identifying the practical transformer fault cases.

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Huang YC, Yang HT, Huang CL. Evolutionary computation based fuzzy fault diagnosis system for power transformer. 1996. 論文發表於 Proceedings of the 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, .