现代电力2012，Vol.29Issue(2)：6-10,5.
基于D-S证据理论的变压器故障诊断
Fault Diagnosis of Transformer Based on D-S Evidence Theory
摘要
Abstract
Because the relationship between fault symptom and failure cause of power transformer is complex and the fault of transformer is not always diagnosed accurately by using single method, a new fault diagnosis method by combining grey association entropy method and weighted K-NN algorithm is proposed based on the D-S Evidence Theory in this paper. On the basis of the dissolved gases analysis (DGA), the basic credit assignment function of evidence theory is built by grey association entropy algorithm and weighted K-NN algorithm. Then, more reliable evidence information is generated by using of evidence combination rule. In the end, the fault of transformer is diagnosed according to the maximum basic credit value. The example of fault diagnosis of transformer testifies the feasibility and effectiveness of proposed algorithm, which can accurately diagnose the transformer fault.关键词
变压器故障诊断/D-S证据理论/DGA/灰关联熵法/加权K邻近算法Key words
fault diagnosis of transformer/ D-S evidence theory/ dissolved gases analysis (DGA)/ grey association entropy algorithm/ weighted K-NN algorithm分类
信息技术与安全科学引用本文复制引用
王日彬,佘彩绮,刘新东,周锦龙..基于D-S证据理论的变压器故障诊断[J].现代电力,2012,29(2):6-10,5.基金项目
国家自然科学基金项目(51007030) （51007030）
中央高校基本科研业务费专项资金资助(21611420) （21611420）
国家大学生创新性实验计划项目(101055937) （101055937）
