Aiming at the characteristic of transformer fauh and the limitation of traditional fauh diagnosis methods of transformer, the paper developed a BP neural network based algorithm to diagnosis fault of transformer. The neural networks are trained with historical fault exemplar. Application on field data proves the validity of the proposed approach.