The fault diagnosis method for power transformer based on BN And DGA

Abstract

Power transformer is very important in power system. Now, dissolved gas analysis (DGA) is the most effective and convenient method in transformer fault diagnosis. This paper advances a new transformer fault diagnosis method based on Bayesian network (BN) and dissolved gas analysis technique. And it constructs the transformer fault diagnosis model based on Bayesian network. Finally, the application examples in the fault diagnosis of transformer are given which shows that this method is effective.