The Fault Diagnosis Model Of Transformer Which Based On The Technology Of Information Fusion

摘要：

In order to satisfy the fault diagnosis of transformer, here, a fully bran-new diagnosis model of transformer was being put forward, which is based on the technology of information amalgamation, and have got an ideal result through applying it to the fault diagnosis of transformers. In order to get this model, here, through using the measures of DGA method, blur theory, bayes network, and weighting amalgamation theory, and so on. Which have achieved a perfect goal, definitely, that is, not only can make us diagnose the fault of transformers from the transformer’s different parts, but also enhance the precision of fault diagnosis result, decrease the not precision maximumly.

关键词： dga iec bayes network information fusion

作者: Gong Yishan Zhang Bo

作者单位: Shenyang University of Technology Foreign Language College Shen Yang, China Shenyang University of Technology Information College Shen Yang, China

会议类型: 国际会议

会议名称: 2009 Ninth International Conference on Hybrid Intelligent Systems(第九届混合智能系统国际会议 HIS 2009)

会议地点: 沈阳

会议语种:英文

页码: 1-4

在线出版日期: 2009-08-12（万方平台首次上网日期，不代表论文的发表时间）