基于VMD算法的隧道爆破振动信号光滑降噪模型

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摘要由于工程环境、电磁干扰和仪器误差等因素的影响，实测隧道爆破振动信号含有大量高频噪声。为了获得真实振动特征，提出了基于变分模态分解（variational mode decomposition，VMD）算法的信号光滑降噪模型。将原始信号进行变分模态分解（VMD）获得本征模态函数，建立低通滤波算法。基于滤波算法的重构误差和光滑程度构造目标函数，计算目标函数的最优解，得到最优的降噪信号，达到去除噪声的目的。对实测隧道爆破振动信号处理表明，该模型能够较好地去除高频噪声并且对信号低频能量影响较小。同时，该模型降噪效果均优于经验模态分解（empirical mode decomposition，EMD）、互补集合经验模态分解 (complementary ensemble empirical mode decomposition, CEEMD)模型，验证了基于VMD算法的信号光滑降噪模型的有效性。

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	彭亚雄1
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	刘广进1
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	苏莹2
	刘运思1
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	张超1
	2

关键词 ：隧道爆破, 振动信号, 变分模态分解, 光滑降噪模型

Abstract：Due to the complex engineering environment, electromagnetic interference and instrument errors, the measured blasting vibration signals of tunnels are mixed with a lot of high-frequency noises. In order to obtain real vibration characteristics, the original signals are decomposed by variational mode decomposition (VMD), and the filtering algorithm is established based on the intrinsic mode function obtained. The objective function is constructed by considering the reconstruction error and smoothness of the filtering algorithm, and the optimal solution of the objective function is calculated to obtain the optimal noise reduction signal. It is shown that this model can not only remove the high frequency noises, but also has little influence on the low frequency energy of the blasting vibration signal. Meanwhile, the noise reduction effect of this model is better than that of empirical mode decomposition（EMD） and complementary ensemble empirical mode decomposition（CEEMD) models, which verifies the effectiveness of the smooth denoising model based on VMD.

Key words： tunnel blasting vibration signal va

收稿日期: 2020-08-11 出版日期: 2021-12-28

引用本文:

彭亚雄1,2，刘广进1,2，苏莹2，刘运思1,2，张超1,2. 基于VMD算法的隧道爆破振动信号光滑降噪模型[J]. 振动与冲击, 2021, 40(24): 173-179.
PENG Yaxiong1,2,LIU Guangjin1,2,SU Ying2,LIU Yunsi1,2,ZHANG Chao1,2. A smooth denoising model of tunnel blasting vibration signal based on VMD. JOURNAL OF VIBRATION AND SHOCK, 2021, 40(24): 173-179.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2021/V40/I24/173

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