基于局域均值分解和Wigner高阶矩谱的机械故障诊断方法的研究

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振动与冲击 ›› 2010, Vol. 29 ›› Issue (6) : 170-173.

论文

基于局域均值分解和Wigner高阶矩谱的机械故障诊断方法的研究

刘卫兵; 李志农; 蒋静

作者信息 +

Machine fault diagnosis method based on local mean decomposition and Wigner higher moment spectrum

Liu Weibing; Li Zhinong; Jiang Jing

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摘要

结合局域均值分解(Local mean decomposition, LMD)方法和Wigner高阶矩谱，提出了一种基于局域均值分解的Wigner高阶矩谱的机械故障诊断方法，该方法保留了LMD和Wigner高阶矩谱的所有优良性能，有效地抑制了Wigner高阶矩谱的交叉项的干扰。仿真结果表明，提出的方法优于直接Wigner高阶矩谱和Choi-Williams核滤波后的Wigner高阶矩谱。最后，将本文方法应用到轴承故障诊断中，实验结果进一步验证了该方法的的有效性。

Abstract

Combining local mean decomposition (LMD) and Wigner higher moment spectrum (WHOS), a machine fault diagnosis method based on LMD and WHOS is proposed. The proposed method reserves the advantages of LMD and WHOS, and the cross-term in the WHOS can be effectively suppressed. The simulation result shows that the proposed method is superior to direct WHOS and Choi-Williams kernel filter WHOS. At last, the proposed method is succesfully applied to the rolling bearing fault diagnosis, the experiment result further verifies the effectivity of the proposed method.

导出引用

刘卫兵;李志农;蒋静. 基于局域均值分解和Wigner高阶矩谱的机械故障诊断方法的研究[J]. 振动与冲击, 2010, 29(6): 170-173

Liu Weibing;Li Zhinong;Jiang Jing. Machine fault diagnosis method based on local mean decomposition and Wigner higher moment spectrum[J]. Journal of Vibration and Shock, 2010, 29(6): 170-173