Power transformer is the hub of the power transmission network, at the same time power transformer status evaluation which protects the power system which must be safe and reliable operation is the premise and foundation. In this article power transformer fault rules and modes are taken to classification analysis, and a BP ANN with Credence for Transformer Fault Diagnosis method is put forward, based on these established power transformer fault tree, and took the failure probability level evaluation. After analyzing shortcoming of neural network and D-S Evidence theory respectively, we develop a method of hierarchical information fusion condition evaluation based on neural network and D-S Evidential theory, and proved that the method has good veracity and reliability of diagnosis.
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