Research on the Method of Robust Filtering Based on Ensemble Empirical Mode Decomposition

LIU Hai-bo ZHAO Yu-ling

Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (8) : 63-67.

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PDF(1905 KB)
Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (8) : 63-67.
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Research on the Method of Robust Filtering Based on Ensemble Empirical Mode Decomposition

  • LIU Hai-bo1 ZHAO Yu-ling2
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Abstract

In order to eliminate outliers and noise impact on the observed data, given a robust filtering algorithm based on ensemble empirical mode decomposition: first with the sliding median filter removed outliers in raw data, then use ensemble empirical mode decomposition algorithm to suppress the noise in the data. Numerical simulation and actual engineering using shows that the method can not only eliminate outliers, suppress the noise signal and improve signal to noise ratio, but also can effectively eliminate the problem of aliasing modes, independently decompose the measured signal into different IMF to get a clearer time-frequency distribution, the actual data processing is conducive to the signal analysis and fault diagnosis.

Key words

vibration and wave / empirical mode decomposition / EEMD / filtering

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LIU Hai-bo ZHAO Yu-ling. Research on the Method of Robust Filtering Based on Ensemble Empirical Mode Decomposition[J]. Journal of Vibration and Shock, 2013, 32(8): 63-67
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