| 利用变压器油中溶解气体分析技术进行故障诊断的研究 |
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| 引用本文： | 孟涛,陈强,刘飞,廖源,杨彬.利用变压器油中溶解气体分析技术进行故障诊断的研究[J].江苏电器,2011(1):1-4,37. |
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| 作者姓名： | 孟涛 陈强 刘飞 廖源 杨彬 |
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| 作者单位： | 国网电力科学研究院;辽宁省电力有限公司本溪供电公司; |
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| 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,叟压器绝缘故障诊断的正确率.人工智能技...
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| 关 键 词： | 变压器 故障诊断 特征气体 人工智能 |
Fault Diagnosis Study with Dissolved Gas Analysis Technology for Transformer Oil |
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| Authors: | MENG Tao CHEN Qiang LIU Fei LIAO Yuan YANG Bin |
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| Affiliation: | MENG Tao1,CHEN Qiang1,LIU Fei1,LIAO Yuan1,YANG Bin2(1 State Grid Electric Power Research Institute,Wuhan 430074,China,2 Liaoning Electric Power Company Limited Benxi Power Supply Company,Benxi 117000,China) |
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| Abstract: | 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 ef... |
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| Keywords: | transformer fault diagnosis characteristic gas artificial intelligence |
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