| 用神经网络方法诊断变压器故障 |
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| 引用本文： | 应鸿 李天云. 用神经网络方法诊断变压器故障[J]. 变压器, 1997, 34(9): 22-25 |
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| 作者姓名： | 应鸿 李天云 |
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| 作者单位： | [1]杭州市电力局 [2]东北电力学院 |
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| 摘 要： | 基于局部特征量的神经网络方法对变压器的故障诊断进行了新的探索，建立了相应的故障诊断的神经网络压缩模型，实例诊断结果证明，这种方法的有效性，本方法能够诊断传统的三比值法无法诊断的故障，对于其他系统的故障诊断，也具有定的指导意义。
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| 关 键 词： | 人工神经网络 变压器 故障诊断 |
Transformer Fault Diagnosis by Artificial Neural Network Method |
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| Ying Hong Hangzhou Power Bureau,Hangzhou Li Tianyun Northeast China Institute of Electric Power Engineering,Jilin Chen Huagang Anhui Hydraulic Workers University,Huaiyuan. Transformer Fault Diagnosis by Artificial Neural Network Method[J]. Transformer, 1997, 34(9): 22-25 |
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| Authors: | Ying Hong Hangzhou Power Bureau Hangzhou Li Tianyun Northeast China Institute of Electric Power Engineering Jilin Chen Huagang Anhui Hydraulic Workers University Huaiyuan |
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| Affiliation: | Ying Hong Hangzhou Power Bureau,Hangzhou 310009 Li Tianyun Northeast China Institute of Electric Power Engineering,Jilin 132012 Chen Huagang Anhui Hydraulic Workers University,Huaiyuan 233400 |
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| Abstract: | Based on the part feature count,an Artificial Neural Network (ANN) method and a correlative model for transformer fault diagnosis are established in this paper.The examples show that the fault which can not be diagnosed by the traditional three-ratio method can be effectively diagnosed by the method presented in this paper.The method can be applied to the fault diagnosis of other systems also. |
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| Keywords: | Artificial neural network Transformer Fault diagnosis Weight-matrix |
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