Transformer fault diagnosis method based on information bottleneck

The invention relates to a transformer fault diagnosis method based on information bottleneck, and belongs to the technical field of transformer fault diagnosis. The method is that the information bottleneck method is adopted to cluster data to obtain a result cluster with the maximum similarity in the cluster; a cluster label of a sample to be detected is determined by voting training samples in the cluster so as to determine the fault class. With the adoption of the method, the classification result is superior to that of the rule-based Duval triangle method, the mode recognizing based BPNN algorithm and the mode recognizing based Bayes method; the diagnosis accuracy can be effectively increased during diagnosing the transformer fault.