基于改进的MEEMD的隧道掘进爆破振动信号去噪优化分析  

Vibration signal denoising optimization analysis in tunnel excavation based on improved MEEMD

作　　者：周红敏[1] 赵事成 赵文清 王双 郝广伟 张宪堂[1] ZHOU Hongmin;ZHAO Shicheng;ZHAO Wenqing;WANG Shuang;HAO Guangwei;ZHANG Xiantang(Shandong Key Laboratory of Disaster Prevention and Mitigation of Civil Engineering,Shandong University of Science and Technology,Qingdao 266590,China;Shandong Luqiao Group Co.,Ltd.,Jinan 250011,China)

机构地区：[1]山东科技大学山东省土木工程防灾减灾重点实验室,山东青岛266590 [2]山东省路桥集团有限公司,济南250011

出　　处：《振动与冲击》2023年第10期74-81,共8页Journal of Vibration and Shock

基　　金：国家自然科学基金(51874189);2021年度矿山地下工程教育部工程研究中心开放基金(JYBGCZX2021102)。

摘　　要：爆破振动信号受现场条件限制,多为复杂含噪信号,对降噪方法的性能提出更高要求。为了获得真实振动特征,建立了一种基于改进的总体平均经验模态分解(modified ensemble empirical mode decomposition,MEEMD)的联合去噪方法。首先,将原始信号进行MEEMD分解得到本征模态分量(intrinsic mode function,IMF),结合相关系数和样本熵(sample entropy,SE)-Hurst指数进行IMF分类;然后,针对含噪IMF分量中的残留噪声,使用最小均方(least mean square,LMS)自适应滤波进行降噪,达到信号去噪的目的。算法对比结果表明:在仿真试验中,MEEMD-LMS相较互补集合经验模态分解(complementary ensemble empirical mode decomposition,CEEMD)、快速集合经验模态分解(fast ensemble empirical mode decomposition,FEEMD)等方法表现出更优的降噪性能;在隧道掘进爆破的实例分析中,MEEMD-LMS相较MEEMD对高频噪声的降噪效果更好,低频段频谱更清晰,具备良好的适用性。Blasting vibration signals are limited by field conditions,which mostly contain noise and require high performance of noise reduction methods.In order to obtain the real vibration characteristics,a joint denoising method based on the improved modified ensemble empirical mode decomposition(MEEMD) algorithm was established.Firstly,the original signal was decomposed with MEEMD to obtain the intrinsic mode function(IMF),and the IMF was classified with combining the correlation coefficient and sample entropy(SE)-Hurst index.Then,the least mean square(LMS) was used to filter the residual noise in the noisy IMF component to finish signal denoising.The algorithm comparison results show that MEEMD-LMS has better noise reduction performance than complementary ensemble empirical mode decomposition(CEEMD) and fast ensemble empirical mode decomposition(FEEMD) in the simulation.In the case analysis of tunnel excavation blasting,MEEMD-LMS has better noise reduction effect on high frequency noise than MEEMD,and the low frequency spectrum is clearer.The noise reduction model has good applicability.

关 键 词：隧道掘进 爆破振动 改进的总体平均经验模态分解(MEEMD) 最小均方(LMS)滤波 本征模态分量(IMF)评价 

分 类 号：U455[建筑科学—桥梁与隧道工程]