基于参数优化VMD-小波阈值的轴承振动信号降噪方法

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中文摘要：为了解决复杂工况下滚动轴承振动信号存在随机噪声的问题,提出了一种基于参数优化变分模态分解(VMD)-小波阈值的滚动轴承降噪方法.首先,利用以包络熵为适应度函数的天鹰算法对变分模态分解算法的模态分解数K和惩罚因子α进行了自适应选择,代入VMD分解中,得到若干本征模态函数(IMFs);然后,根据峭度-相关系数将IMF分量划分为纯净分量和含噪分量,对含噪分量进行了小波阈值降噪处理;最后,对处理后的分量进行了重构,并用重构信号进行了包络谱分析,实现了滚动轴承的信号降噪目的,并利用仿真信号和美国凯斯西储大学公开的轴承数据集对上述降噪方法的有效性进行了验证.研究结果表明:基于参数优化VMD-小波阈值的降噪方法减少了滚动轴承运行状态下的随机噪声,相对小波阈值降噪方法,所得仿真信号信噪比提升53%,均方误差降低13%;在故障特征频率为162 Hz时,所得实验降噪信号包络谱的前6 倍频谱峰值更为明显,且受随机噪声影响较小.该研究方法在滚动轴承等旋转机械信号降噪方面具有一定的参考价值.

外文标题：Noise reduction method of bearing vibration signal based on parameter optimized VMD-wavelet thresholding

外文摘要：Aiming to solve the problem of random noise in rolling bearing vibration signals under complex working conditions,a parametric optimized variational modal decomposition(VMD)-wavelet thresholding method for noise reduction was proposed.Firstly,using envelope entropy as the fitness function,the modal decomposition number K and the penalty factor α of the variational modal decomposition algorithm were adaptively selected using the Aquila Optimizer algorithm,and brought into the VMD decomposition to obtain a number of intrinsic mode functions(IMFs).Then,the IMF components were divided into pure and noise-containing components based on the crag-correlation coefficient,and the noise-containing components were subjected to wavelet thresholding for noise reduction.Finally,the processed components were reconstructed and subjected to envelope spectral analysis with reconstructed signal to achieve signal noise reduction in rolling bearings,which were verified using simulated signals and publicly available bearing datasets from Case Western Reserve University.The results show that the noise reduction method based on parameter optimized VMD-wavelet thresholding reduces the random noise under the operating condition of rolling bearings,and the signal-to-noise ratio of the simulated signal is improved by 53%,and the mean-square error is reduced by 13%relative to that of the wavelet-thresholding noise reduction method;when the fault characteristic frequency is 162 Hz,the first 6-fold spectral peaks of the envelope spectrum of the resulting experimental noise reduction signal are more pronounced and less affected by random noise.The research method is informative in signal noise reduction in rotating machinery such as rolling bearings.

外文关键词：

rolling bearingfault diagnosisvariational modal decomposition(VMD)intrinsic mode functionwavelet thresholding noise reductionaquila optimizer(AO)kurtosis-correlation coefficient

作者：

闫海鹏、郝新宇、秦志英

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作者单位：

河北科技大学机械工程学院,河北石家庄 050018

关键词：

滚动轴承故障诊断变分模态分解本征模态函数小波阈值降噪天鹰算法峭度-相关系数

基金：

河北省自然科学基金资助项目河北省教育厅青年基金资助项目

项目编号：

E2021208004QN2021061

出版年：

2024

DOI：

10.3969/j.issn.1001-4551.2024.02.007

机电工程

浙江大学　浙江省机电集团有限公司

机电工程

CSTPCD北大核心

影响因子：0.785

ISSN：1001-4551

年,卷(期)：2024.41(2)

参考文献量20