Innovated Fault Diagnosis for Power Transformer Using Hybrid Fuzzy Dissolved Gas Analysis

Abstract:

The objective of this paper is to integrate five traditional criteria of the Dissolved Gases Analysis published in different standards into a more reliable approach of the fault diagnosis of power transformer for maintenance personnel of Taiwan Power Company(TPC). This paper employs Fuzzy Inference System(FIS) to develop two factors as a integrated fault diagnosis for power transformer. One is the identifiable factor which interprets the fault type, the other is the fault factor which asseses the operating condition of transformer. The result of diagnosis can be observed by web browser on TPC intranet. The designed synthetic method has been verified by TPC historical transformers gas records and shows its effectiveness in transformers diagnosis.

• Periodical: Applied Mechanics and Materials (Volumes 284-287)
• Pages: 1082-1086
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.284-287.1082
• Online since: January 2013
• Authors: Chih Hsuan Liu, Leehter Yao, Tung Bin Lin, Shun Yuan Wang
• Keywords: Dissolved Gas-in-Oil Analysis (DGA), Fuzzy Inference System (FIS), Power Transformer

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