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基于模糊神经网络的变压器故障诊断新方法
引用本文:张慧媛 丁扬. 基于模糊神经网络的变压器故障诊断新方法[J]. 华北电力大学学报(自然科学版), 1998, 25(2): 6-11
作者姓名:张慧媛 丁扬
作者单位:[1]中国矿业大学 [2]徐州电业局
摘    要:基于模糊理论与神经网络理论,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,研究结果表明了这种方法的有效性和应用前景。

关 键 词:变压器  故障诊断  模糊理论  人工神经网络

New Method Based on Fuzzy Neural Networks for Transformer Fault Diagnosis
Zhang Huiyuan ,Ding Yang ,Song Lin ) China University of mining and Technology,Xuzhou Jiangsu ) Xuzhou Bureau of Electricity,Xuzhou Jiangsu. New Method Based on Fuzzy Neural Networks for Transformer Fault Diagnosis[J]. Journal of North China Electric Power University, 1998, 25(2): 6-11
Authors:Zhang Huiyuan   Ding Yang   Song Lin ) China University of mining  Technology  Xuzhou Jiangsu ) Xuzhou Bureau of Electricity  Xuzhou Jiangsu
Affiliation:Zhang Huiyuan 1,Ding Yang 2,Song Lin 2 1) China University of mining and Technology,Xuzhou Jiangsu 221008 2) Xuzhou Bureau of Electricity,Xuzhou Jiangsu 221005
Abstract:The Paper proposes a new method of transformer fault diagnosis on the basis of fuzzy theory and artificial neural networks (ANN) theory and sets up a fuzzy neural networks based 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.Research results have shown the effectiveness and application potential of the method.
Keywords:transformer  fault diagnosis  fuzzy theory  artificial neural networks
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