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神经网络在电力变压器故障诊断中的应用
Application of Fuzzy Neural Networks in Transformer Fault Diagnosis
【摘要】 基于模糊理论和神经网络理论 ,提出了变压器故障诊断的新方法 ,根据特征气体法和改良IEC三比值法 ,建立了模糊神经网络诊断模型。此模型有效地处理了故障诊断中的不确定因素 ,并具有较强的知识获取能力 ,表明了这种方法的有效性和应用前景
【Abstract】 Introduces a new method of transformer fault diagnosis on the basis of fuzzy theory and artificial neural networks(ANN) theory,and proposes a fuzzy neural network diagnosis model according to Key Gas method and improved IEC(International Electric Committee)three ratio method.The model can effectively handle uncertain factors in fault diagnosis and has strong ability in knowledge acquisition.The results show the effectiveness and application potential of the method.
【关键词】 变压器;
故障诊断;
模糊理论;
人工神经网络理论;
【Key words】 Transformer; Fault diagnosis; Fuzzy theory; Artificial neural networks theory;
【Key words】 Transformer; Fault diagnosis; Fuzzy theory; Artificial neural networks theory;
【基金】 浙江省自然科学基金 !(984 0 9 G)资助
- 【文献出处】 浙江工程学院学报 ,JOURNAL OF ZHEJIANG INSTITUTE OF SCIENCE AND TECHNOLOGY , 编辑部邮箱 ,2000年01期
- 【分类号】TM410.7
- 【被引频次】26
- 【下载频次】138