Research on Fault Identification Method of Dry-type Transformers Based on Support Vector Machine

Due to safety consideration, dry-type transformers are widely used in hospitals, mines and subway stations, so the fault identification method of dry-type transformers is of great importance. This paper has thoroughly analyzed the related theoretical equations and stablished the simulation model of temperature of the dry-type transformer using in subway stations under different situations. Using the malfunction data collected from the experiments, a fault identification method is put forward based on support vector machine(SVM). This method is applied to the simulation of transformer fault recognition and the fault identification accuracy can reach 82.67%.