An Improved DAG-SVM algorithm in High Voltage Circuit Breaker Fault Diagnosis

摘要：

　　In order to improve the accuracy of the fault diagnosis of high voltage circuit breaker,an improved DAG-SVM method which is based on the original DAG-SVM is proposed in this paper.The separating characters of samples are evaluated by the average similar measure which contributes to selecting the proper node and optimizing the topology structure of DAG-SVM.Experimental results show that this method can distinguish the fault type of circuit breaker accurately and effectively.

关键词： Directed Acyclic Graph Support Vector Machine average similar measure high voltage circuit breaker fault diagnosis

作者: Yi Pan Fei Mei Yaming Geng Yu Chai Jianyong Zheng

作者单位: School of Electrical Engineering,Southeast University,Nanjing,210096 College of Energy and Electrical Engineering,Hohai University,Nanjing 211100,China State Grid Jiangsu Electric Power Maintenance Branch Company,Taizhou 225300

会议类型: 国际会议

会议名称: 2017 IEEE 2nd Advanced Information Technology,Electronic and Automation Control Conference(IAEAC 2017)(2017 IEEE 第2届先进信息技术、电子与自动化控制国际会议)

会议地点: 重庆

会议语种:英文

页码: 131-136

在线出版日期: 2017-03-25（万方平台首次上网日期，不代表论文的发表时间）