Research On Condition Assessment Method Of Power Transformer

In order to guarantee the security, reliability and economical efficiency of power system, power enterprise required that electrical equipment repair system change from regular maintenance to the state maintenance. Transformer condition assessment is the basis of the transformer condition based maintenance. Dissolved gasses analysis (DGA) is one of the most valuable tools in evaluating the health of a transformer. In this paper take the dissolved gas H₂,CH₄,C₂H₆,C₂H₄ and C₂H₂ in transformer oil as the evaluation indicators, divide the transformer condition into five grades:"excellent","good","in general","pay attention to"and"fault". Set up a multi-level support vector machines classifiers and Bayesian classifier transformer condition assessment evaluation model. The method and the step have been presented detailed in the paper. At last compared the two methods with the example data.