The invention discloses a transformer equipment fault identification method. The transformer equipment fault identification method specifically comprises the following steps of: (1) data preprocessing; (2) judgment of common fault modes; and(3) diagnosis of the fault modes, wherein a state quantity association rule analysis method is utilized, the combinations of a plurality of fault abnormal state quantities of excavated main transformer equipment and different expressions of fault abnormal state quantities of the excavated main transformer equipment are extracted and merged, the mutual influence degree among the fault abnormal state quantities is analyzed, and finally the diagnosis of the fault modes is carried out. A cluster analysis method comprises a hierarchical agglomerative clustering method or a k-Means clustering method, and the state quantity association rule analysis method is an Apriori associating rule algorithm. According to the invention, the plurality of kinds of effective information which may influence the state of the main transformer equipment are fully and reasonably excavated, state evaluation is carried out, and a new idea and method are provided for the state evaluation of the main transformer equipment.