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

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	218-223
Number of pages	6
Publication status	Published - 1996 Dec 1
Event	Proceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan Duration: 1996 Dec 11 → 1996 Dec 14

Other

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

All Science Journal Classification (ASJC) codes

General Engineering

Cite this

@conference{ae7c6d79bd4c451f97d28d34e07e2e65,

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.",

author = "Huang, \{Y. C.\} and Yang, \{H. T.\} and Huang, \{C. L.\}",

year = "1996",

month = dec,

day = "1",

language = "English",

pages = "218--223",

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

}

TY - CONF

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

Abstract

Other

All Science Journal Classification (ASJC) codes

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