Evolutionary computation based fuzzy fault diagnosis system for power transformer

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

Evolutionary computation based fuzzy fault diagnosis system for power transformer

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

研究成果: Paper › 同行評審

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 12月 1
事件	Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan 持續時間: 1996 12月 11 → 1996 12月 14

Other

Other	Proceedings of the 1996 Asian Fuzzy Systems Symposium
城市	Kenting, Taiwan
期間	96-12-11 → 96-12-14

All Science Journal Classification (ASJC) codes

一般工程

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引用此

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title = "Evolutionary computation based fuzzy fault diagnosis system for power transformer",

abstract = "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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year = "1996",

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language = "English",

pages = "218--223",

note = "Proceedings of the 1996 Asian Fuzzy Systems Symposium ; Conference date: 11-12-1996 Through 14-12-1996",

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T1 - Evolutionary computation based fuzzy fault diagnosis system for power transformer

AU - Huang, Y. C.

AU - Yang, H. T.

AU - Huang, C. L.

PY - 1996/12/1

Y1 - 1996/12/1

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.

UR - https://www.scopus.com/pages/publications/0030349668

UR - https://www.scopus.com/pages/publications/0030349668#tab=citedBy

M3 - Paper

AN - SCOPUS:0030349668

SP - 218

EP - 223

T2 - Proceedings of the 1996 Asian Fuzzy Systems Symposium

Y2 - 11 December 1996 through 14 December 1996

ER -

Evolutionary computation based fuzzy fault diagnosis system for power transformer

摘要

Other

All Science Journal Classification (ASJC) codes

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