| 基于小波包分解的机械振动信号分析 |
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| 引用本文： | 舒苗淼,刘广璞,潘宏侠.基于小波包分解的机械振动信号分析[J].起重运输机械,2009(9):61-64. |
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| 作者姓名： | 舒苗淼 刘广璞 潘宏侠 |
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| 作者单位： | 中北大学机械工程与自动化学院 |
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| 摘 要： | 提出了一种新的基于小波包的振动信号故障特征提取方法,运用这种方法对柴油机表面振动信号经过小波包降噪处理,有效地剔除柴油机表面振动信号的噪声干扰,提高信号的信噪比。对降噪信号提取频带能量特征,为神经网络故障诊断提供了新的故障样本。
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| 关 键 词： | 柴油机 小波包 故障诊断 特征提取 |
Mechanical vibration signal analysis based on wavelet packet |
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| Abstract: | The paper offers a new vibration signal sampling method based on wavelet packet,which can be used to sample the diesel engine vibration signal through de-noise processing by wavelet packet.It can significantly eliminate the signal interference and enhance signal-to-noise ratio.For energy featrue extraction from de-noise signals,It offers a new fault sample for neutral network fault diagnosis. |
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| Keywords: | diesel engine wavelet packet fault diagnosi feature extraction |
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