| 基于人工神经元网络的发电机转子绕组匝间短路故障诊断 |
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| 引用本文： | 薄丽雅,刘念,陈卓,幸晋渝,郝江涛.基于人工神经元网络的发电机转子绕组匝间短路故障诊断[J].四川电力技术,2005,28(3):11-13. |
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| 作者姓名： | 薄丽雅 刘念 陈卓 幸晋渝 郝江涛 |
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| 作者单位： | 四川大学电气信息学院,四川,成都,610065 |
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| 摘 要： | 分析了发电机发生转子绕组匝间短路故障后的电磁特性，得到识别故障的特征，根据在确定状态下，发电机磁势保持不变，运用人工神经元网络方法，通过对故障样本的比较，诊断出转子绕组匝间短路故障。
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| 关 键 词： | 匝间短路 人工神经元网络 故障样本 |
| 文章编号： | 1003-6954(2005)03-0011-03 |
| 修稿时间： | 2005年2月27日 |
Interturn Short - circuit Fault Diagnosis of Generator Rotor Winding Based on ANN |
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| BO Liya,Liu Nian,Chen Zhuo,XING Jinyu,HAO Jiangtao.Interturn Short - circuit Fault Diagnosis of Generator Rotor Winding Based on ANN[J].Sichuan Electric Power Technology,2005,28(3):11-13. |
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| Authors: | BO Liya Liu Nian Chen Zhuo XING Jinyu HAO Jiangtao |
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| Affiliation: | Bo Liya Liu Nian Chen Zhuo Xing Jinyu Hao Jiangtao |
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| Abstract: | Electromagnetic characteristic after interturn short-circuit fault occurs in generator rotor winding is analyzed and the feature of fault identification is obtained. Based on that the MMF is constant on some condition, the ANN is used to diagnose the interturn short-circuit fault through the comparison of fault samples. |
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| Keywords: | interturn short-circuit artificial neural network fault samples |
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