| 基于小波包-Elman神经网络的电机轴承故障诊断 |
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| 引用本文： | 李运红,张湧涛,裴未迟. 基于小波包-Elman神经网络的电机轴承故障诊断[J]. 河北理工学院学报, 2008, 0(4) |
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| 作者姓名： | 李运红 张湧涛 裴未迟 |
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| 作者单位： | 河北理工大学机械工程学院;河北理工大学计算机与自动控制学院; |
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| 摘 要： | 根据电机滚动轴承振动信号的频域变化特征,通过小波包分析将轴承振动信号分解在不同的频带之内,以频带能量作为识别故障的特征向量,应用容错性强、动态性能良好的Elman神经网络建立从特征向量到故障模式之间的映射,实现电机轴承故障分类。仿真结果表明,采用小波包和Elman神经网络相结合的方法能更加有效地实现电机轴承的故障诊断。
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| 关 键 词： | 小波包分析 Elman神经网络 轴承 故障诊断 |
Fault Diagnosis of the Motor Bearing Based on the Wavelet Package-Elman Neural Network |
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| LI Yun-hong,ZHANG Yong-tao,PEI Wei-chi. Fault Diagnosis of the Motor Bearing Based on the Wavelet Package-Elman Neural Network[J]. Journal of Hebei Institute of Technology, 2008, 0(4) |
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| Authors: | LI Yun-hong ZHANG Yong-tao PEI Wei-chi |
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| Affiliation: | LI Yun-hong1,ZHANG Yong-tao2,PEI Wei-chi1(1.College of Mechanical Engineering,Hebei Polytechnic University,Tangshan Hebei 063009,China,2.College of Computer , Automation Control,China) |
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| Abstract: | Based on the frequency domain characteristic of vibration signals of the ball bearings.The vibration signals were decomposed into different frequency bands through the method of wavelet package analysis.Energy of various frequency bands acting as the fault feature vector is input into the Elman neural network to realize the mapping between the feature vector and the fault mode since the Elman neural network has strong fault tolerance and better dynamic capability.The emluator results verified the effectiven... |
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| Keywords: | wavelet package analysis Elman neural network bearing fault diagnosis |
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