Transformer Fault Diagnosis Based on SVM Optimized Improved PSO Algorithm
In order to improve the accuracy of transformer fault diagnosis,a transformer fault diagnosis method based on improved PSO algorithm optimized SVM is proposed.Using the improved PSO algorithm to optimize the penalty parameters and kernel parameters of support vector machines,a transformer fault diagnosis model based on the improved PSO-SVM was established.Typical transformer fault data is used for example analysis,and compared with GA-BP and ALO-ELM fault diagnosis methods.The results show that the accuracy of the transformer fault diag-nosis method based on the improved PSO algorithm optimized SVM is as high as 96%,higher than the other two methods,The correctness and practicality of the method proposed in this article have been verified.
万方数据
维普
