In view of the problem of automatic detection of partial discharge faults in UHV transformers,the current methods often carry out real-time verification independently for abnormal areas,which has low efficiency and high error rate.Therefore,an automatic fault detection method for partial discharge of UHV transformer based on improved SVM is proposed.Firstly,the fault characteristics of transformer partial discharge are extracted by multi-level method,the detection efficiency is strengthened,and the multi-level detection fault tree is designed.Then,an improved SVM model is constructed and automatic detection is realized with transfer learning.The test results show that this method has a lower detection error rate,which proves its high efficiency and significant improvement of detection accuracy.
关键词
改进SVM/特高压变压器/局部放电/故障检测/自动检测/检测方法
Key words
improved SVM/ultra high voltage transformer/partial discharge/fault detection/automatic detection/detection method
维普
万方数据