| 基于BP神经网络的电机转子故障诊断的研究 |
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| 引用本文： | 李占锋,韩芳芳,郑德忠.基于BP神经网络的电机转子故障诊断的研究[J].河北科技大学学报,2001,22(3):23-26. |
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| 作者姓名： | 李占锋 韩芳芳 郑德忠 |
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| 作者单位： | 1. 秦皇岛市飞天公司,
2. 燕山大学电气工程学院, |
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| 摘 要： | 介绍了一种基于 BP算法的神经网络在电机转子常见故障诊断中的应用。首先利用测振传感器获得转子的振动信息 ,然后用 FFT分析 ,将振动信号的频谱分析作为神经网络的训练样本。通过选择足够的故障样本来训练神经网络 ,将代表故障的信息输入训练好的神经网络后 ,由输出结果就可以判断发生的故障种类。
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| 关 键 词： | 人工神经网络 故障诊断 BP算法 转子故障 |
| 文章编号： | 1008-1542(2001)03-0023-04 |
| 修稿时间： | 2001年6月11日 |
Research on Fault Diagnosis of Rotors Based on BP Artificial Neural Network |
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| LI Zhan-feng ,HAN Fang-fang ,ZHENG De-zhong.Research on Fault Diagnosis of Rotors Based on BP Artificial Neural Network[J].Journal of Hebei University of Science and Technology,2001,22(3):23-26. |
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| Authors: | LI Zhan-feng HAN Fang-fang ZHENG De-zhong |
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| Institution: | LI Zhan-feng 1,HAN Fang-fang 2,ZHENG De-zhong 2 |
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| Abstract: | This paper describes a new method for rotor fault diagnosis of electric machinery drag system,artificial neural network,which is based on BP algorithm.The dynamic vibration information is gained from acceleration meter,and then by FFT analysis,the frequency information of vibration is used as the training specimen of neural network.When symptoms that represent faults are input to the trained neural network,the type of fault can be determined in the output of the neural network. |
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| Keywords: | artificial neural network fault diagnosis BP algorithm rotor fault |
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