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.
|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||Proceedings of the 1996 Asian Fuzzy Systems Symposium|
|Period||96-12-11 → 96-12-14|
All Science Journal Classification (ASJC) codes