The local wave decomposition method is a new method to analyse instability and nonlinearity.
而局域波分解法是一种新的分析非平稳、非线性的工具。
The research is helpful to the improvement of local wave decomposition algorithm and the applications of local wave analysis.
对局域波分解算法的改进和局域波分析的应用具有参考价值。
Weak fault signal was divided into finite local wave components with different simple-intrinsic modes, so that signal was separated from noise.
利用局域波法将微弱的故障信号分解为有限的并且具有不同基本模式的分量，每个分量是单一成分信号，实现了信噪分离。
In the view of feature signal extraction, the local wave time-frequency analysis and information entropy were used to deal with fault diagnosis.
从特征信号提取的角度出发，采用局域波时频分析和信息熵结合的方法进行往复式压缩机故障诊断。
After signal local wave decomposition, the information entropy according to time-frequency distribution was established, and it was used as characteristic parameter for fault recognition.
对信号进行局域波分解后，建立基于时频分布的信息熵，以此作为故障识别的参数。
The concept of local energy in time-frequency plane, based on local wave theory, is defined. Then a new feature extraction method based on the local energy in time-frequency plane is given.
在局域波理论的基础上，引入了时频局部能量的概念，进而提出了一种基于时频局部能量的特征提取方法。
The research work mentioned above enhances the local wave method. It also proved that the methods which are introduced in the paper can effectively identify the fault and solve practical problems.
以上研究工作在一定程度上丰富和完善了局域波分析方法，诊断应用表明本文中提出的方法能够有效的识别故障，解决实际问题。
The blind source separation fault diagnosis method based on Local wave time-frequency images is developed.
提出了一种基于局域波时频图像的盲源分离故障诊断方法。
Then, Local Wave method is introduced in consideration of the non-stationarity characteristic of the vibrating signals from NC machines.
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.
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。
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