| 基于RBF神经网络的发电机转子匝间短路故障诊断 |
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| 引用本文： | 赵艳军,李永刚. 基于RBF神经网络的发电机转子匝间短路故障诊断[J]. 电力科学与工程, 2008, 24(10) |
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| 作者姓名： | 赵艳军 李永刚 |
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| 作者单位： | 华北电力大学电气与电子工程学院 |
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| 摘 要： | 在分析汽轮发电机转子匝间短路的电磁特性和转子振动特性的基础上,得到了匝间短路的特征参数。根据特征参数,建立了RBF(Radial Basis Function)神经网络诊断模型并将其应用于发电机匝间短路的故障诊断与识别。实例结果表明,该方法是行之有效的。
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| 关 键 词： | 汽轮发电机 匝间短路 RBF神经网络 振动 故障诊断 |
RBF Neural Network for Fault Diagnosis of Rotor Winding Inter-turn Short Circuit in Stedm-turbin Generator |
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| Zhao Yanjun,Li Yonggang. RBF Neural Network for Fault Diagnosis of Rotor Winding Inter-turn Short Circuit in Stedm-turbin Generator[J]. Power Science and Engineering, 2008, 24(10) |
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| Authors: | Zhao Yanjun Li Yonggang |
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| Abstract: | Based on the analysis of the electric magnetic characteristic and rotor vibration characteristic of turbo-generator when rotor winding inter-turn short circuit occur,this paper gets the relevant characteristic parameters.So the RBF(Radial Basis Function) neural network diagnose model can be established,which is applied successfully in the malfunction diagnosis for rotor winding inter-turn short circuit.The results of experiment showed that this method is effective. |
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| Keywords: | steam-turbine generator winding inter-turn short circuit RBF neural network vibration malfunction diagnosis |
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