The invention discloses a multiattribute comprehensive method for structural fault diagnosis of a transformer based on various detection methods. A multiattribute diagnosis model with two-stage structures is built; comprehensive diagnosis is carried out through various detection methods, such as a short circuit impedance method, a frequency response method and a capacitance method. Possible states of the transformer are described through grades. An analytic hierarchy process is introduced to calculate every detection method and the weight coefficients of corresponding criteria. On the basis of the evidential reasoning theory, the comprehensive diagnosis is carried out to the conclusions obtained through the various detection methods; the possible states of the transformer are represented in a probability form. According to the invention, the structural fault diagnosis problem of the transformer under conditions that the original data are missed and various judging conclusions are at variance is solved; the real state of the power transformer can be judged accurately; and the subject factor influence is reduced.