Fault diagnosis of power transformers: application of fuzzy set theory, expert systems and artificial neural networks

The application of fuzzy set theory, expert systems and artificial neural networks to fault diagnosis of power transformers is introduced, and uncertain reasoning and the combination between ES and ANN are studied. Uncertain reasoning is the main diagnostic method. The ES/ANN combination, called the consultative mechanism, can help to improve the correctness of the diagnosis and ensure the accuracy of the knowledge base. Experimental results are given which verify the proposed method.