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.
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.
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.
适用于非平稳、非线性信号分析。
It is suitable to analyze nonlinear and non-stationary data.
EMD分解法是一种自适应的信号处理方法，适用于分析非线性、非平稳过程。
The EMD method is a new method to analyze instability and nonlinearity.
EMD方法是对非平稳、非线性信号进行分析的一种新的时频分析方法。它比小波分析等方法具有更强的特性并能准确地处理非常短的数据序列。
EMD method is a new method for analyzing nonlinear and non-stationary data, which has more advantage than wavelet analysis, and it can process short time series precisely.
然而，现实中的信号大多是非线性、非平稳的，并且数据长度有限，这使得分析处理此类信号成为一项复杂的工作。
While in the real world, signals are often nonlinear and non-stationary and their length is often very short, which makes the processing of such signals a difficult task.
然而，现实中的信号大多是非线性、非平稳的，并且数据长度有限，这使得分析处理此类信号成为一项复杂的工作。
While in the real world, signals are often nonlinear and non-stationary and their length is often very short, which makes the processing of such signals a difficult task.
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