基于快速谱峭度和正交匹配追踪算法的轴承故障诊断方法

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摘要针对快速谱峭度在低信噪比情况下诊断效果差的问题，提出了一种基于正交匹配追踪（OMP）算法的滚动轴承故障诊断新方法。该方法通过快速谱峭度图确定最优滤波器参数对信号进行滤波，利用故障信号在傅里叶稀疏基下的稀疏度已知的特点，对滤波信号的包络信号在傅里叶稀疏基下用OMP算法对轴承振动信号的包络信号进行重构，以减少噪声和其他无关成分的影响，最后对重构信号进行频谱分析获取轴承故障特征。通过轴承故障仿真数据、实验台故障轴承外圈和内圈试验数据的检验，验证了本方法的有效性和可行性。

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	王海明1
	2
	刘永强1
	2
	廖英英2
	3

关键词 ：滚动轴承, 故障诊断, 快速谱峭度, 正交匹配追踪, 压缩感知

Abstract：Aiming at the diagnosis effect of fast spectral kurtosis in cases of low signal-to-noise ratio being poor, a new method for rolling bearing fault diagnosis based on fast spectral kurtosis and orthogonal matching pursuit (OMP) algorithm was proposed. The optimal filter parameters were determined with fast spectral kurtosis graph, and then signals were filtered with the optimal filter. Based on the known sparsity of fault signals under Fourier sparse basis, the envelope signal of the filtered signals under Fourier sparse basis was used to reconstruct the envelope signal of bearing vibration signals to reduce influences of noise and other irrelevant components. Finally, spectral analysis was conducted for the reconstructed signal to obtain bearing fault characteristics. Bearing fault simulation data and test data of faulty bearing’s outer and inner rings on platform verified the effectiveness and feasibility of the proposed method.

Key words： rolling bearing fault diagnosis fast spectral kurtosis orthogonal matching pursuit (OMP) compressive sensing

收稿日期: 2019-03-25 出版日期: 2020-09-28

引用本文:

王海明1,2，刘永强1,2，廖英英2,3. 基于快速谱峭度和正交匹配追踪算法的轴承故障诊断方法[J]. 振动与冲击, 2020, 39(19): 78-83.
WANG Haiming1,2， LIU Yongqiang1,2， LIAO Yingying2,3. Fault diagnosis method for rolling bearings based on fast spectral kurtosis and orthogonal matching pursuit algorithm. JOURNAL OF VIBRATION AND SHOCK, 2020, 39(19): 78-83.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2020/V39/I19/78

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