| 提升小波包和神经网络在轴承故障诊断中的应用 |
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| 引用本文： | 王殿明,杨青,礼长智.提升小波包和神经网络在轴承故障诊断中的应用[J].沈阳理工大学学报,2011(5):38-41. |
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| 作者姓名： | 王殿明 杨青 礼长智 |
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| 作者单位： | 沈阳理工大学信息科学与工程学院; |
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| 摘 要： | 针对轴承故障信号的特点，采用9／7提升小波包和概率神经网络（Probabilistic Neural Networks）相结合的算法对轴承故障进行诊断。首先对原始数据进行小波变换，并对其进行特征提取。然后利用概率神经网络对得到的特征向量进行类别判定。在VB和Matlab设计的故障诊断仿真实验平台上，验证了9／7提升小波包和概率神经网络混合的故障诊断方法满足实验要求．
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| 关 键 词： | 故障诊断 9／7提升小包波分析 概率神经网络 轴承 VB |
Application of Lifting Wavepack Transform and Neural Networks to Fault Diagnosis of Bearing |
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| WANG Dianming,YANG Qing,LI Changzhi.Application of Lifting Wavepack Transform and Neural Networks to Fault Diagnosis of Bearing[J].Transactions of Shenyang Ligong University,2011(5):38-41. |
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| Authors: | WANG Dianming YANG Qing LI Changzhi |
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| Affiliation: | WANG Dianming,YANG Qing,LI Changzhi(Shenyang Ligong University,Shenyang 110159,China) |
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| Abstract: | According to the features of the vibration signals that come from the bearings,9/7 lifting wavepack transform and Probabilistic Neural Networks(PNN) were used to analyse the fault data.Firstly,wavelet transform on the original data is performed and its feature vector is calculated.Secondly,the PNN is used to classify the vector.The fault diagnosis method of the 9/7 lifting wavepack and PNN is proved to meet the requirements by the VB and Matlab platform. |
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| Keywords: | fault diagnosis 9/7 lifting wavepack analysis probabilistic neural networks bearing VB |
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