The study of transformer fault diagnosis based on means kernel clustering and SVM multi-class object simplified structure

A model based on means kernel clustering and support vector machine (SVM) multi-class object simplified structure is proposed for transformer fault diagnosis. The basic idea is, firstly, the training samples are clustered by means kernel clustering algorithm, then the right ones clustered by means kernel clustering are put into the classifier of SVM multi-class object simplified structure and trained by this structure, finally, the fault of the transformer can be detected. The result shows that the precision is better than the traditional one, and the reliability and effectiveness using above method is satisfied in fault diagnosis.