A Fault Diagnosis Method for Transformer Integrating Rough Set with Fuzzy Rules

A Fault Diagnosis Method for Transformer Integrating Rough Set with Fuzzy Rules
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粗糙集与模糊规则相结合的变压器故障诊断方法

DOI：
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发表时间：
2006
期刊：
影响因子：
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通讯作者：
Yijia Cao
Yijia Cao
中科院分区：
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文献类型：
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作者：
Zhiyong Wang;Chuangxin Guo;Q. Jiang;Yijia Cao

文献摘要

被引文献

相似文献

虽然国际电工委员会（IEC）规范方法已被广泛用于解释油中溶解气体分析（DGA）结果，但它有时无法诊断，特别是当Transformer中存在多个故障时。本文提出了一种基于粗糙集的模糊逻辑技术，可以诊断变压器的多个故障（Transformer）。将粗糙集理论应用于IEC编码，得到决策表的约简。采用模糊方法，显示出各故障诊断决策规则的模糊隶属度函数，最终诊断出Transformer的故障类型。将该方法应用于某些变压器，取得了良好的效果。
Although the International Electrotechnical Commission (IEC) codes method has been widely used to interpret dissolved gas-in-oil analysis (DGA) results in the world, it sometimes fails to diagnose, especially when more than one fault exists in a transformer. This paper presents a rough set-based fuzzy logic technique, which can diagnose multiple faults in a transformer. By applying rough set theory to the IEC codes, the reduct of the decision table can be obtained. By using a fuzzy method, the fuzzy membership functions of each fault diagnosis decision rules are displayed, and finally the fault type of the transformer is diagnosed. The application of this method to some transformers has yielded promising results.