Fault Diagnosis for Power Transformer Based on SVM Information Fusion

摘要：

　　A kind of fault diagnosis method for power transformer based on multi-SVM information fusion is proposed in this paper.Based on th e one against one multi-classification SVM and pairwise coupling method,the m ulti-classification SVM probability outputs are obtained and regarded as the basic probability function of information fusion to diagnose.It also makes full use of complementary information from gases dissolved in transformer oil analysis data and electrical test data.From the example analysis results,it shows better performance than a single feature SVM method in the aspect of accuracy and generalization.

关键词： transformer SVM information fusion fault diagnosis

作者: Sima Li-ping Su Xing-zhi Wang Bo Dou Peng Liu Gen-cai Shu Nai-qiu

作者单位: School of Electrical Engineering,Wuhan University,Wuhan,China Foshan Power Supply Bureau,Guangdong Power Grid Corporation,Foshan,China

会议类型: 国际会议

会议名称: the 2nd International Conference on Electronic & Mechanical Engineering and Information Technology (EMEIT-2012)(2012年电机工程与信息技术国际会议)

会议地点: 沈阳

会议语种:英文

页码: 2016-2019

在线出版日期: 2012-09-26（万方平台首次上网日期，不代表论文的发表时间）