The Research on the De-Noising Method for Signals Based On CEEMD

被引:0
|
作者
Huang, Wei [1 ]
Xu, Wei-chang [1 ]
Wu, Ya-ke [1 ]
Hao, Hong-li [1 ]
机构
[1] High Tech Inst, Fan Gong Ting South St 12th, Qing Zhou, Shandong, Peoples R China
关键词
vibration signal; de-noising; CEEMD; random noise;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Dynamical properties of mechanical systems can be obtained with the vibration signals from the systems. However, for the influence of noises, it is difficult to accurately acquire the features. Therefore, de-noising operation is significant for vibration signal in the practical engineering. In order to resolve this problem, the Complementary Ensemble Empirical Mode Decomposition (CEEMD) method is introduced to try to eliminate noises from the analyzed signal. At first, the theory of the method is illustrated, which included adding white noises, EMD for the signal and calculating the mean of the intrinsic mode function. On this base, the signal which contains several harmonic components with white noise is processed by CEEMD. As the result shown, the random noise can be effectively removed; moreover, the harmonic components can be accurately separated. And these improve that the CEEMD is an effective method for the de-noising.
引用
收藏
页码:711 / 714
页数:4
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