利用变压器油中溶解气体分析技术进行故障诊断的研究  

Fault Diagnosis Study with Dissolved Gas Analysis Technology for Transformer Oil

作　　者：孟涛[1] 陈强[1] 刘飞[1] 廖源[1] 杨彬[2] 

机构地区：[1]国网电力科学研究院,湖北武汉430074 [2]辽宁省电力有限公司本溪供电公司,辽宁本溪117000

出　　处：《电工电气》2011年第1期1-4,37,共5页Electrotechnics Electric

摘　　要：基于油中溶解气体分析技术是变压器故障诊断重要的分析手段,提出了多种以油中气体含量为依据的判断变压器故障类型的方法。主要对基于油中溶解气体分析技术的变压器绝缘故障诊断方法进行探讨。总结了传统变压器绝缘故障诊断方法,讨论了基于人工智能技术的变压器绝缘故障诊断方法,这些方法有效地提高了变压器绝缘故障诊断的正确率。人工智能技术的不断发展为变压器绝缘故障诊断的研究提供了新的研究内容和方向。The dissolved gas in oil analysis method is important for transformer diagnosis.Many kinds of methods taking oil gas contents as basis for judgment of transformer fault category were raised.Discussion was made mainly to transformer insulation fault diagnosis based on oil dissolved gas analysis technology（DGA）.The method of traditional transformer insulation fault diagnosis was summarized,transformer insulation fault diagnosis methods based on artificial intelligent technology discussed.These methods have effectively raised correctness of transformer insulation fault diagnosis.Uninterrupted development of artificial intelligent technology has provided new research contents and direction for transformer insulation fault diagnosis.

关 键 词：变压器 故障诊断 特征气体 人工智能 

分 类 号：TM407[电气工程—电器]