基于小波包分解的功率谱方法在人字门启闭机减速器故障诊断中的应用
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Application of power spectrum method based on wavelet packet decomposition in the fault diagnosis of reducer in the hoist of miter gate
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    摘要:

    针对船闸人字闸门机械式启闭机减速器中滚动轴承振动的不平稳性及其故障信号中存在噪声和干扰的问题,提出了一种基于小波阈值算法的小波包分解与功率谱分析的故障诊断方法。该方法通过对故障信号进行小波分解且对其系数作阈值处理,并利用处理后的分解系数进行小波逆变换得到降噪后的信号,然后对降噪后的信号进行小波包分解,找到能量集中的节点,对其进行Hilbert包络解调并求其Hilbert包络线的功率谱,从而提取故障特征信息。应用实例表明:仿真信号与某船闸人字闸门机械式启闭机减速器故障诊断方法能降低信号噪声以及干扰,并能提取故障特征信息。

    Abstract:

    In view of the problem of the unstable vibration and noise interference in the rolling bearing fault signal acquisition in a reducer of the hoist of miter gate,a fault diagnosis method based on wavelet packet decomposition and power spectrum analysis were put forward based on wavelet threshold denoising for the diagnosis of rolling bearings.In this method,the fault signal was decomposed by wavelet function,and the decomposition coefficient was processed with threshold.The denoised signal was obtained by inverse wavelet transform of the decomposed coefficients.Then,the denoised signal was decomposed by wavelet packet,and the node with energy concentration was found,and the Hilbert envelope was demodulated and the power spectrum of its Hilbert envelope was obtained,so as to extract the fault feature information.The application example shows that the simulation signal and the fault diagnosis method for the reducer in the hoist of miter gate mechanical hoist can reduce the signal noise and interference,and extract the fault feature information.

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李涵钊,胡志芳,望 昊.基于小波包分解的功率谱方法在人字门启闭机减速器故障诊断中的应用[J].水运工程,2020(2):117-123.

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  • 在线发布日期: 2020-02-17
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