Intelligent Methods for Transformer Fault Diagnosis Based on DGA

doi:10.3969/j.issn.1000-7229.2015.06.006

Abstract

Abstract:

Aiming at the shortcomings of the traditional fault diagnosis method for transformer, this paper introduced the applications of several intelligent methods in the fault diagnosis of power transformer based on dissolved gas-in-oil analysis (DGA), including the artificial neural network, the fuzzy theory, the expert system, the grey relational analysis and other intelligent methods. This paper analyzed these intelligent diagnosis methods and obtained the relative merits and improved solutions, which could provide a reference for the researchers to choose the optimal fault diagnosis method of oil-immersed power transformer. At last, the DGA-based intelligent fault diagnosis method for transformer was discussed, and its future development direction was analyzed.

Key words: transformer, fault diagnosis, DGA, intelligent methods

CLC Number:

TM 41

WANG Guoping， YU Tao，FU Senmu， ZHONG Yunping， ZHANG Yong， CHENG Xiaohua . Intelligent Methods for Transformer Fault Diagnosis Based on DGA[J]. ELECTRIC POWER CONSTRUCTION, 2015, 36(6): 34-39.

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