这种方法将一个复杂的非线性非平稳信号逐级分解成若干平稳的数据层与剩余的最终趋势项的叠加。
This method will gradually decompose a complex nonlinear and non-stationary signal into some stable data layers and the remaining final trend.
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.
介绍了用于非平稳、非线性信号的四分位偏差分形维算法，并通过仿真实例验证了此计算方法的准确性。
The fractal dimension algorithm using quartile deviation on non-stationary and nonlinear signals is introduced. And the accuracy of this algorithm is verified by simulation.
适用于非平稳、非线性信号分析。
It is suitable to analyze nonlinear and non-stationary data.
给水泵组机械状态信号具有非平稳性和非线性，而支持向量机具有良好的非线性函数逼近和泛化能力。
The mechanical state signal of boiler feed pumps is nonstationary and nonlinear, and support vector machines has an excellent nonlinearity approximation ability and better generalization capability.
基于动力系统模型的局部投影非线性降噪算法，对混沌信号和一大类非平稳信号具有明显的降噪效果。
The algorithm of local projective nonlinear noise reduction based on nonlinear dynamic system is more effective for noise reduction of chaotic signal and non-stationary signals.
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.
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.
该方法可用于复杂的非线性、非平稳信号的处理。
This method can analyze complicated non-stationary nonlinear signal.
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.
由于现实中的信号多为非平稳非线性信号，经验模式分解及其应用已成为近年来国内外热门的研究课题。
As the magority of reality signals is non-stationary and nonlinear signals, empirical mode decomposition and its application has become a hot research topic at home and abroad in recent years.
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.
水力机组振动复杂，信号呈现出非线性、非平稳性。因此，振动信号的预处理在水力机组振动监测中非常重要。
It is very important for the signal pretreatment of hydraulic power vibration monitor because the situation of vibration is complicated, and the signal appears non-linear and non-stable character.
它的分解基是随动态信号波形的变化而变化 ，具有自调节自适应的特征 ，因此能在时频域内描述非平稳非线性信号的局部特性。
Since the decomposition bases can vary with the local features of dynamic signals, the method is adaptive , therefore, highly efficient for describing nonlinear and non?stationary signals.
它的分解基是随动态信号波形的变化而变化 ，具有自调节自适应的特征 ，因此能在时频域内描述非平稳非线性信号的局部特性。
Since the decomposition bases can vary with the local features of dynamic signals, the method is adaptive , therefore, highly efficient for describing nonlinear and non?stationary signals.
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