| 模糊输入的概率神经网络在变压器故障诊断中的应用 |
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| 引用本文： | 段慧达,刘学军,刘文斌.模糊输入的概率神经网络在变压器故障诊断中的应用[J].电气应用,2007,26(7):28-30. |
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| 作者姓名： | 段慧达 刘学军 刘文斌 |
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| 作者单位： | 北华大学电气信息工程学院,132021 |
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| 摘 要： | 将概率神经网络引入到电力变压器的故障诊断中,并提出了利用模糊数学的知识对神经网络输入进行预处理的方法.采用改良的三比值方法来实现故障诊断,建立了基于模糊输入的神经网络故障诊断模型.通过对神经网络模型的实例训练及仿真,证明了此方法有较好的收敛性,提高了故障诊断的有效性和准确性.
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| 关 键 词： | 概率神经网络 模糊 故障诊断 气相色谱分析法 |
| 修稿时间： | 2006年9月7日 |
Application of Probabilistic Neural Network for Fault Diagnosis of Power Transformer Based on Fuzzy Input |
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| Duan Huida.Application of Probabilistic Neural Network for Fault Diagnosis of Power Transformer Based on Fuzzy Input[J].Electrotechnical Application,2007,26(7):28-30. |
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| Authors: | Duan Huida |
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| Affiliation: | Beihua University |
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| Abstract: | Probabilistic Neural Network is used in fault diagnosis of power transformer. A method using fuzzy math theory to deal with the data of the neural network input is proposed.Fault diagnosis of power transformer based on improved three ratio method is realized. And a fault diagnosis model of neural network based on fuzzy input is constituted. The simulation diagnosis demonstrates the effectiveness, astringency and veracity of the proposed algorithm. |
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| Keywords: | probabilistic neural network fuzzy fault diagnosis dissolved gas analysis |
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