改进的EMD方法及其在滚动轴承故障诊断中的应用

Improved EMD and Its Application in Rolling Bearing Fault Diagnosis

针对经验模态分解中筛选终止条件和极值点的选择问题,定义了基于能量比值的筛选终止条件,采用抛物线插值拟合的方法,改进了确定极值点的位置和极值大小的方法,对仿真信号进行分解的结果显示了所提方法的优越性,最后将改进的经验模态分解方法与Hilbert谱结合应用于滚动轴承故障诊断,实验结果显示该方法的有效性。

According to the problems of sifting stopping criterion and selection of extremums in empirical mode decomoposition, a sifting stopping criterion based on energy ratio is defined, extrema locations and extremums are determined by adopting parabolic interpolation fitting, and the decomposition results of simulated signal show the superiority of the proposed method. Finally, the improved empirical mode decomposition and Hilbert spectral are combined and applied to rolling beating fault diagnosis. The experiment result shows the effectiveness of the proposed means.