Detection of Winding Faults Using Image Features and Binary Tree Support Vector Machine for Autotransformer

ieee transactions on transportation electrification(2020)

引用 17|浏览2
暂无评分
摘要
Autotransformer (AT) is the most core power supply equipment, and overvoltage and short circuit (SC) fault may lead to winding deformation, which will have a negative impact on its insulation and even affect the operation of a train. The frequency response analysis (FRA) is widely used for detecting winding faults in a transformer. However, the direct measure of FRA for each split winding fails be...
更多
查看译文
关键词
Windings,Circuit faults,Frequency response,Fault diagnosis,Support vector machines,Binary trees,Feature extraction
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要