Due to the acquisition of the basic probability assignment (BPA) function in the transformer fault diagnosis by D-S evidence theory, this paper presents a improved Bayesian classifier method which based on the Bayesian theory and D-S evidence theory. The basic probability assignment function is improved in order to solve the problem of the constant probability assignment in the individual areas. The results of the experiment show that the method is effective and accurate.