In order to improve the accuracy of transformer fault diagnosis, a method of the evidence theory is applied. According to the characteristics data of transformer failure, the two parallel BP neural networks are used to carry on local fault diagnosis and acquire independent evidences each other, then the evidence theory was employed to fuse them. Experimental results show that the method is good to improve the reliability of the diagnosis and decrease the diagnostic uncertainty