De-noising of demolition blasting vibration signals based on ICEEMDAN-multiscale permutation entropy

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Journal of Vibration and Shock ›› 2024, Vol. 43 ›› Issue (13) : 275-287.

KANG Yize1,2, YAO Yingkang1,2, DONG Runlong1,2, JIA Yongsheng1,2,3, XIE Quanmin1,2

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Abstract

Due to factors such as engineering environment and explosive detonation, the low-frequency vibration signals generated by the measured demolition of buildings (structures) are often subject to noise interference. An improved noise reduction algorithm, which combines the Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (ICEEMDAN) and multiscale permutation entropy, iwas proposed. The feasibility of the algorithm used wais verified through the Pearson coefficient, signal-to-noise ratio, and mean square error. The noise reduction of ground vibration signal of blasting collapse measured in demolition wasThe noise reduction processing of the measured demolition blasting collapse ground vibration signals is carried out. Through spectral analysis and comparison of various indicators, it is shown that this combined noise reduction method can effectively reduce the noise in the demolition blasting vibration signals, with minimal impact on the signal's low-frequency energy. The noise reduction effect is significant, providing a new and effective method for the analysis and processing of demolition blasting vibration signals.

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Demolition blasting / vibration signal / Improved complete ensemble empirical mode decomposition with adaptive noise(ICEEMDAN) / Multiscale permutation entropy / Signal noise reduction

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KANG Yize1,2, YAO Yingkang1,2, DONG Runlong1,2, JIA Yongsheng1,2,3, XIE Quanmin1,2. De-noising of demolition blasting vibration signals based on ICEEMDAN-multiscale permutation entropy[J]. Journal of Vibration and Shock, 2024, 43(13): 275-287

References

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