| 基于小波包变换与神经网络的齿轮故障诊断方法 |
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| 引用本文： | 鲍泽富,徐李甲,王江萍.基于小波包变换与神经网络的齿轮故障诊断方法[J].机械研究与应用,2010,23(1):21-24. |
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| 作者姓名： | 鲍泽富 徐李甲 王江萍 |
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| 作者单位： | 西安石油大学,机械工程学院,陕西,西安,710065 |
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| 摘 要： | 对齿轮箱故障诊断问题进行研究,由于齿轮的振动信号是非平稳信号,常规的齿轮特征提取方法难以从振动信号中提取有效故障特征信息。笔者采用小波包理论对齿轮振动信号应用db12小波进行多层分解后,从而对信号进行消噪,并对消噪后的信号进行小波包3层分解及系数重构,再次对各频段能量进行处理分析从而得到特征向量。最终应用归一化方法对特征向量处理后再结合RBF神经网络进行故障诊断,并且取得了良好的诊断效果。
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| 关 键 词： | 齿轮 小波包 RBF神经网络 故障诊断 |
Study of gears fault diagnosis system based on wavelet packet neural network |
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| Bao Ze-fu,Xu Li-jia,Wang Jiang-ping.Study of gears fault diagnosis system based on wavelet packet neural network[J].Mechanical Research & Application,2010,23(1):21-24. |
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| Authors: | Bao Ze-fu Xu Li-jia Wang Jiang-ping |
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| Affiliation: | Bao Ze-fu,Xu Li-jia,Wang Jiang-ping |
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| Abstract: | In this article,gearbox fault diagnosis is mainly researched.Because the vibration signal of gear is non-stationary,the fault feature information can not be obtained availably by regular methods to extract the feature by fault gears.The wavelet package theory and multi-wavelet db12 are used to analyze the signal for de-noising the vibration signal,and the three-layer wavelet packet is used to decom pose the de-noising signal.Then the energy of each frequency band is analyzed in order to get the characterist... |
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| Keywords: | gears wavelet package RBF neural network fault diagnosis |
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