基于ICEEMDAN-多尺度排列熵的拆除爆破振动信号降噪研究

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振动与冲击 ›› 2024, Vol. 43 ›› Issue (13) : 275-287.

论文

康怡泽1，2，姚颖康1，2，董润龙1，2，贾永胜1，2，3，谢全民1，2

作者信息 +

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

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

Author information +

文章历史 +

摘要

由于工程环境、炸药爆炸等因素影响，实测建（构）筑物爆破拆除所产生的低频振动信号常受到噪声干扰。提出改进的自适应噪声完全集合经验模态分解(Improved Complete Ensemble Empirical Mode Decomposition with Adaptive Noise, ICEEMDAN)与多尺度排列熵联合的降噪算法，并运用皮尔逊系数、信噪比和均方误差来验证所用算法的可行性。对实测拆除爆破塌落触地振动信号进行降噪处理，通过频谱分析以及各类指标对比表明，该联合降噪方法能够有效降低拆除爆破振动信号中的噪声，并且对信号的低频能量影响较小，降噪效果显著，为拆除爆破振动信号分析和处理提供了一种新的有效的方法。

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.

导出引用

康怡泽1，2，姚颖康1，2，董润龙1，2，贾永胜1，2，3，谢全民1，2. 基于ICEEMDAN-多尺度排列熵的拆除爆破振动信号降噪研究[J]. 振动与冲击, 2024, 43(13): 275-287

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

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