Evolutionary computation based fuzzy fault diagnosis system for power transformer

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

Research output: Contribution to conferencePaperpeer-review

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

All Science Journal Classification (ASJC) codes

  • Engineering(all)

Fingerprint Dive into the research topics of 'Evolutionary computation based fuzzy fault diagnosis system for power transformer'. Together they form a unique fingerprint.

Cite this