由于分解是基于信号时域局部特征的，因此它特别适合用来分析非线性非平稳过程。

Since the decomposition is based on the local characteristic time scale of the data, it is applicable to nonlinear and non-stationary processes.

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针对数控机床机械系统的非线性和振动信号的非平稳特性，引入局域波分析方法。

Then, Local Wave method is introduced in consideration of the non-stationarity characteristic of the vibrating signals from NC machines.

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研究结果表明：基于经验模式分解的时频分析方法可以很有效地提取到非平稳故障特征信号，是一种适合于非线性信号处理的方法。

The experiment result shows that the time-frequency method based on EMD can effectively extract the feature of unbalanced fault signal and is proper for non-frequency modulation signal procession.

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