基于EEMD的振动信号自适应降噪方法

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振动与冲击 ›› 2012, Vol. 31 ›› Issue (15) : 82-86.

论文

基于EEMD的振动信号自适应降噪方法

陈仁祥，汤宝平，马婧华

作者信息 +

An adaptive de-noising method based on Ensemble Empirical Mode Decomposition for vibration signal

Chen Renxiang，Tang Baoping，Ma Jinghua

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文章历史 +

摘要

摘要：应用集合经验模式分解（Ensemble empirical mode decomposition ,EEMD）能有效抑制模态混叠的特性，根据白噪声经经验模式分解（Empirical mode decomposition, EMD）后其固有模式函数（intrinsic mode functions ，IMF）分量的能量密度与其平均周期的乘积为一常量这一特点设计了自动选择IMF分量重构信号的算法，提出了基于EEMD的振动信号自适应降噪方法。对仿真信号和滚动轴承振动信号的降噪结果表明了该降噪方法的可行性和有效性。

Abstract

Abstract: Application on the characteristics of that the ensemble empirical mode decomposition (EEMD) can effectively suppress the phenomenon of mode mixing, and according to the product of the energy density of intrinsic mode functions (IMFs) from the white noise by EMD and the corresponding averaged period of IMFs is a constant, an automatic algorithm of choose IMF components to reconstruct signal was designed, and an adaptive de-noising method based on EEMD for vibration signal was proposed. The simulate signal and bearing vibration signal were used to test and the results showed that the EEMD-based noise cancellation method presented here had feasibility and validity.

导出引用

陈仁祥;汤宝平;马婧华. 基于EEMD的振动信号自适应降噪方法[J]. 振动与冲击, 2012, 31(15): 82-86

Chen Renxiang;Tang Baoping;Ma Jinghua. An adaptive de-noising method based on Ensemble Empirical Mode Decomposition for vibration signal[J]. Journal of Vibration and Shock, 2012, 31(15): 82-86