Study On Transformer Condition Assessment And Fault Diagnosis Based On Support Vector Machine

Power transformer is the critical equipment in electrical system. Its performance directly affects the safe operation and dependability of electrical system. It is very important to realize transformer running condition and find incipient faults as early as possible for transformer condition maintenance. In this paper condition assessment and fault diagnosis have been done in-depth research based on SVM. Aiming at power transformer condition assessment, appropriate parameters were chosen to assess main transformer by combining the achievement and the expert experience, considering the practical maneuverability. Proposes a power transformer condition assessment model based on SVR. The results show that the model is efficient and feasible. Aiming at power transformer fault diagnosis, propose a transformer fault diagnose model based on PCA and SVM theory. The results show that the model provides good classification result and has outstanding promotional ability.