Evolutionary computation based fuzzy fault diagnosis system for power transformer

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

Research output: Contribution to conferencePaper

2 Citations (Scopus)

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 languageEnglish
Pages218-223
Number of pages6
Publication statusPublished - 1996 Dec 1
EventProceedings of the 1996 Asian Fuzzy Systems Symposium - Kenting, Taiwan
Duration: 1996 Dec 111996 Dec 14

Other

OtherProceedings of the 1996 Asian Fuzzy Systems Symposium
CityKenting, Taiwan
Period96-12-1196-12-14

Fingerprint

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

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Cite this

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

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

1996. 218-223 Paper presented at Proceedings of the 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, .

Research output: Contribution to conferencePaper

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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. Paper presented at Proceedings of the 1996 Asian Fuzzy Systems Symposium, Kenting, Taiwan, .