| 基于神经网络的电力变压器故障性质诊断研究 |
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| 引用本文： | 吕宏丽,叶双,田红霞.基于神经网络的电力变压器故障性质诊断研究[J].电子世界,2013(13):50-51. |
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| 作者姓名： | 吕宏丽 叶双 田红霞 |
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| 作者单位： | 唐山学院信息工程系 |
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| 基金项目： | 唐山市科技局科研项目(编号:12110216a) |
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| 摘 要： | 本文利用BP神经网络针对电力变压器故障性质诊断进行了研究,建立了5-12-3型神经网络模型,对比多种改进的BP算法选择最佳的训练函数。经实际数据仿真验证该模型能准确快速地得到诊断结果,达到预期效果。
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| 关 键 词： | 故障诊断 神经网络 隐含层 训练函数 |
Study on Fault Quality Diagnosis of Power Transformer Based on Neural Network |
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| Lü Hong-li Ye Shuang Tian Hong-Xia.Study on Fault Quality Diagnosis of Power Transformer Based on Neural Network[J].Electronics World,2013(13):50-51. |
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| Authors: | Lü Hong-li Ye Shuang Tian Hong-Xia |
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| Affiliation: | Lü Hong-li Ye Shuang Tian Hong-Xia (Department of Information Engineering,Tangshan College,Tangshan 063000,China) |
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| Abstract: | This paper studies the power transformer fault quality diagnosis using the method of BP neural network.It is established a type of 5-12-3 neural network model and compared various improved BP algorithms for finding the optimum training function.Through simulation with practical data it is proved that the neural network model can make the fault diagnosis accurately and quickly and achieve the prospective effects. |
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| Keywords: | fault diagnosis neural network hidden layer training function |
| 本文献已被 CNKI 等数据库收录！ |
