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

Chen Renxiang;Tang Baoping;Ma Jinghua

Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (15) : 82-86.

PDF(2009 KB)
PDF(2009 KB)
Journal of Vibration and Shock ›› 2012, Vol. 31 ›› Issue (15) : 82-86.
论文

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

  • Chen Renxiang,Tang Baoping,Ma Jinghua
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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.

Key words

ensemble empirical mode decomposition / de-noising / energy density / averaged period

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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
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