| 基于BP神经网络的转子匝间短路故障识别方法 |
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| 引用本文： | 王晓华,李永刚,樊静,刘玉飞.基于BP神经网络的转子匝间短路故障识别方法[J].电力科学与工程,2010,26(2):5-8. |
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| 作者姓名： | 王晓华 李永刚 樊静 刘玉飞 |
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| 作者单位： | 1. 华北电力大学电气与电子工程学院,河北,保定,071003
2. 邯郸建筑设计有限责任公司,河北,邯郸,056002 |
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| 基金项目： | 国家自然科学基金资助项目(50677017) |
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| 摘 要： | 分析了发电机转子绕组发生匝间短路后的电磁特性,得到了匝间短路后的特征参数。在确定的运行状态下,发电机励磁磁动势故障前后维持不变而励磁电流增大。据此选取故障样本,将BP神经网络应用于发电机匝间短路故障识别。BP神经网络不依赖于发电机的数学模型及其结构参数。最后实测了故障发电机的特征信号,与理论分析结果基本吻合。
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| 关 键 词： | 发电机 匝间短路 磁动势 神经网络 |
Fault Identification of Rotor Windings Inter-turn Short Circuit Based on BP Neural Network |
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| Wang Xiaohua,Li Yonggang,Fan Jing,Liu Yufei.Fault Identification of Rotor Windings Inter-turn Short Circuit Based on BP Neural Network[J].Power Science and Engineering,2010,26(2):5-8. |
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| Authors: | Wang Xiaohua Li Yonggang Fan Jing Liu Yufei |
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| Affiliation: | 1.School of Electrical and Electronic Engineering;North China Electric Power University;Baoding 071003;China;2.Handan Architecture Design Co.;Ltd.;Handan 056002;China |
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| Abstract: | The electromagnetic characteristic of turbine generator were analyzed in details when rotor windings inter-turn short circuit has happened.This paper revealed that exciting magnetic force Ff is constant in a fixed condition whereas the exciting current If increases in case of rotor inter-turn fault.Based on the theory,BP(back propagation) neural network can be adequately trained and diagnosis rotor winding inter-turn short circuit.BP neural network is independent on mathematic models and parameters of turbi... |
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