| 基于BP神经网络的变压器故障诊断 |
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| 引用本文： | 李志斌,陈成优,李启本,许云辉. 基于BP神经网络的变压器故障诊断[J]. 化工自动化及仪表, 2013, 40(4): 494-496,533 |
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| 作者姓名： | 李志斌 陈成优 李启本 许云辉 |
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| 作者单位： | 上海电力学院电力与自动化工程学院,上海,200090 |
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| 摘 要： | 利用BP神经网络对变压器进行故障诊断.以特征气体含量的比值作为输入量,利用MATLAB软件建立故障诊断模型,利用改进的动量梯度下降法,达到了故障诊断的要求.并通过变压器故障诊断实例分析,证明了该方法的有效性.
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| 关 键 词： | 变压器 DGA 特诊气体 神经网络 故障诊断 |
Fault Diagnosis of Power Transformer Based on BP Neural Network |
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| LI Zhi-bin , CHEN Cheng-you , LI Qi-ben , XU Yun-hui. Fault Diagnosis of Power Transformer Based on BP Neural Network[J]. Control and Instruments In Chemical Industry, 2013, 40(4): 494-496,533 |
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| Authors: | LI Zhi-bin CHEN Cheng-you LI Qi-ben XU Yun-hui |
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| Affiliation: | (School of Electric Power and Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China) |
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| Abstract: | The BP neural network was used to diagnose the transformer faults,in which,the MATLAB was employed to build fault diagnosis model and the improved gradient descent method was applied to satisfy the fault diagnosis.The results of practical diagnosis prove effectiveness of this method. |
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| Keywords: | transformer DGA specific gas neural network fault diagnosis |
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