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中文摘要：
局部均值分解（Local mean decomposition,LMD）方法是一种新的自适应时频分析方法,但在其实现过程中会发生模态混淆现象,使分析结果失真。通过数值试验得到了LMD对白噪声的滤波器组结构,并在此基础上,针对模态混淆现象提出总体局部均值分解（Ensemble local mean decomposition,ELMD）方法。在该方法中添加不同的白噪声到目标信号,分别对加噪后的信号进行LMD分解,最后将多次分解结果的平均值作为最终的分解结果。对仿真信号和试验转子局部碰摩信号进行分析,结果表明ELMD方法能有效地克服原LMD方法的模态混淆现象。
英文摘要：
The local mean decomposition（LMD） is a newly self-adaptive time-frequency analysis method.Mode mixing phenomenon which makes the decomposition results distortion may be produced when LMD is performed.The filter bank structure of LMD in white noise is obtained by numerical experiments,and based on this,the ensemble local mean decomposition method（ELMD） is proposed to overcome the shortcomings of mode mixing.In ELMD,different white noise is added to the targeted signal.The noise-added signal is decomposed by using LMD.Several decomposed results is severed as the final decomposition result.The analytical results from simulated signal and experimental rotor local rub-impact signal demonstrate that the ELMD method can be used to improve the mode mixing of the original LMD method effectively.
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