[1]马亚①③,张万志②,刘杲朋①③,等.基于RLMD-EWT的爆破振动信号联合降噪方法[J].爆破器材,2025,54(02):58-64.[doi:10.3969/j.issn.1001-8352.2025.02.008]
　MA Ya,ZHANG Wanzhi,LIU Gaopeng,et al.Combined Noise Reduction Method for Blasting Vibration Signals Based on RLMD-EWT[J].EXPLOSIVE MATERIALS,2025,54(02):58-64.[doi:10.3969/j.issn.1001-8352.2025.02.008]
点击复制

基于RLMD-EWT的爆破振动信号联合降噪方法()
分享到：

《爆破器材》[ISSN:1001-8352/CN:32-1163/TJ]

卷:
54
期数:
2025年02
页码:
58-64
栏目:
爆破技术
出版日期:
2025-04-07

文章信息/Info

Title:
Combined Noise Reduction Method for Blasting Vibration Signals Based on RLMD-EWT
文章编号:
5909
作者:
马亚①③; 张万志②; 刘杲朋①③; 李骏①③; 闫宗伟①③
①山东高速建设管理集团有限公司（山东济南，250014）
②山东大学齐鲁交通学院（山东济南，250002）
③山东高速临滕公路有限公司（山东临沂，273400)
Author(s):
MA Ya①③;  ZHANG Wanzhi②;  LIU Gaopeng①③;  LI Jun①③;  YAN Zongwei①③
① Shandong Hi-speed Construction Management Group Co., Ltd. (Shandong Ji’nan, 250014)
② School of Qilu Transportationg, Shandong University (Shandong Ji’nan, 250002)
③ Shandong High Speed Linteng Highway Co., Ltd. (Shandong Linyi, 273400)
关键词:
公路隧道; 爆破振动; RLMD; 经验小波变换（EWT）; 信号降噪
Keywords:
highway tunnel;  blasting vibration;  RLMD;  empirical wavelet transform (EWT);  signal denoising
分类号:
U455
DOI:
10.3969/j.issn.1001-8352.2025.02.008
文献标志码:
A
摘要:
在公路隧道爆破中，为了获得准确、真实的振动特征，基于鲁棒性局部均值分解（robust local mean decomposition, RLMD）和经验小波变换（empirical wavelet transform，EWT），建立了一种RLMDEWT联合降噪方法。首先，将实测信号进行RLMD分解,得到若干乘积函数（product functions，PF）分量，结合相关系数和样本熵（sample entropy，SE）对PF分量进行分类，对含噪分量进行EWT分解，进而实现降噪目标。通过降噪效果对比，RLMDEWT联合降噪方法具备可行性，相较LMD、 EWT、 RLMD和LMD-WT方法，表现出更优的降噪性能、更高的降噪效率和准确度。结合HHT频谱图，RLMDEWT方法对于30～50 Hz、 250 Hz以上2个频段的噪声可实现有效滤除，具备良好的信号适用度。
Abstract:
In order to obtain accurate and realistic blasting vibration characteristics in highway tunnel blasting, an RLMD-EWT joint denoising method based on robust local mean decomposition (RLMD) and empirical wavelet transform (EWT) was established. Firstly, the measured signal was decomposed by RLMD to obtain several product functions (PF). The PF components were classified by correlation coefficients and sample entropy (SE), and the noisy components were decomposed by EWT to achieve the goal of noise reduction. By comparing the noise reduction outcomes, the RLMDEWT combined noise reduction method is feasible. Compared with LMD, EWT, RLMD and LMD-WT methods, it shows better noise reduction performance, higher noise reduction efficiency and accuracy. Combined with the HHT spectrum, RLMDEWT method can effectively filter out the noise in the two frequency bands of 3050 Hz and above 250 Hz, demonstrating good signal applicability.

参考文献/References:

［1］应铭, 冯国胜, 贾素梅, 等. 基于DSP的柴油机振动信号小波降噪实时性研究［J］. 内燃机学报, 2022, 40(4): 345-350.
YING M, FENG G S, JIA S M, et al. Real-time research of diesel engine vibration signal denoising by wavelet based on DSP ［J］. Transactions of CSICE, 2022, 40(4): 345-350.
［2］王玮, 徐丙垠, 邹国锋, 等. 基于模态分解的低压串联电弧故障特征提取方法比较［J］. 科学技术与工程, 2023, 23(17): 7355-7367.
WANG W, XU B Y, ZOU G F, et al. Comparison of low voltage series arc fault feature extraction methods based on mode decomposition ［J］. Science Technology and Engineering, 2023, 23(17): 7355-7367.
［3］王民顿, 尚俊娜. 基于CEEMD和改进小波阈值法的钢架结构沉降数据去噪方法［J］. 大地测量与地球动力学, 2022, 42(11): 1191-1195.
WANG M D, SHANG J N. Denoising method of steel frame structure settlement data based on CEEMD and improved wavelet threshold method ［J］. Journal of Geodesy and Geodynamics, 2022, 42(11): 1191-1195.
［4］HUANG N E, SHEN Z, LONG S R, et al. The empirical mode decomposition and the hilbert spectrum for nonlinear and nonstationary time series analysis ［J］. Proceedings of Roval Society of London A, 1998, 454(3): 903-995.
［5］GILLES J. Empirical wavelet transform ［J］. IEEE Transactions on Signal Processing, 2013, 61(16): 3999-4010.
［6］王彤洲, 崔春生, 刘双峰, 等. 基于经验小波变换和奇异值分解的冲击波降噪方法［J］. 探测与控制学报, 2023, 45(2): 67-72.
WANG T Z, CUI C S, LIU S F, et al. Shockwave noise reduction method based on empirical wavelet transform and singular value decompositon ［J］. Journal of Detection & Control, 2023, 45(2): 67-72.
［7］SMITH J S. The local mean decomposition and its application to EEG perception data ［J］. Journal of the Royal Society Interface, 2005, 2(5): 443-454.
［8］曲洪权, 吉祥, 盛智勇, 等. 基于局部均值分解的样本熵特征提取研究及应用［J］. 激光与光电子学进展, 2022, 59(7): 87-97.?
QU H Q, JI X, SHENG Z Y, et al. Research and application of sample entropy feature extraction based on local mean decomposition［J］. Laser & Optoelectronics Progress, 2022, 59(7): 87-97.
［9］LIU Z L, JIN Y Q, ZUO M J, et al. Time-frequency representation based on robust local mean decomposition for multicomponent AM-FM signal analysis ［J］. Mechanical Systems & Signal Processing, 2017, 95: 468-487.
［10］颜少廷, 周玉国, 任艳波, 等. 基于RLMD和Kmeans++的轴承故障诊断方法［J］. 机械传动, 2021, 45(2): 163-170.
YAN S T, ZHOU Y G, REN Y B, et al. Bearing fault diagnosis method based on RLMD and Kmeans［J］. Journal of Mechanical Transmission, 2021, 45(2): 163-170.
［11］唐贵基, 李树才, 卢盛阳, 等. 基于CERLMDAN的转子故障诊断［J］. 动力工程学报, 2020, 40(9): 720-727.
TANG G J, LI S C, LU S Y, et al. Rotor fault diagnosis based on CERLAMDAN ［J］. Journal of Chinese Society of Power Engineering, 2020, 40(9): 720-727.
［12］刘炜, 李思文, 王竞, 等. 基于EWT能量熵的直流短路故障辨识［J］. 电力自动化设备, 2020, 40(2): 149-153.
LIU W, LI S W, WANG J, et al. Identification of DC short circuit fault based on EWT energy entropy ［J］. Electric Power Automation Equipment, 2020, 40(2): 149-153.
［13］王卫玉, 何葵东, 金艳, 等. 基于CEEMDAN样本熵和PSO-SVM的水电机组振动信号特征提取［J］. 武汉大学学报(工学版), 2022, 55(11): 1167-1175.
WANG W Y, HE K D, JIN Y, et al. Feature extraction of vibration signal of hydropower unit based on CEEMDAN sample entropy and PSO-SVM［J］. Engineering Journal of Wuhan University, 2022, 55(11): 1167-1175.
［14］章芳情, 袁方, 贺玉, 等. 基于NLM-CEEMDAN和样本熵的水电机组振动信号去噪［J］. 中国农村水利水电, 2023(6): 286-294.
ZHANG F Q, YUAN F, HE Y, et al. Vibration signal de-noising of hydropower units based on NLM-CEEMDAN and sample entropy ［J］. China Rural Water and Hydropower, 2023(6): 286-294.
［15］闫祥海, 周志立, 李忠利. 拖拉机动力输出轴载荷经验模态分解软阈值降噪研究［J］. 西安交通大学学报, 2019, 53 (5): 67-72, 122.
YAN X H, ZHOU Z L, LI Z L. Study on the noise reduction of tractor power take-off load by empirical mode decomposition soft-threshold method ［J］. Journal of Xi’an Jiaotong University, 2019, 53 (5): 67-72, 122.
［16］史艳楠, 齐朋磊, 王裕, 等. 基于STA/LTA改进的CEEMD-SVD微震信号降噪算法［J］. 振动与冲击, 2023, 42(5): 113-121.
SHI Y N, QI P L, WANG Y, et al. Micro-seismic signal denoising algorithm based on CEEMD-SVD and STA/LTA ［J］. Journal of Vibration and Shock, 2023, 42(5): 113-121.

相似文献/References:

[1]郭涛,高振儒,范磊,等.不同位置条件下减震沟减震效应的数值模拟[J].爆破器材,2010,39(02):7.
　GUO Tao,GAO Zhenru,FAN Lei,et al.Numerical Simulation of Damping Effect of Damping Ditch with Different Location[J].EXPLOSIVE MATERIALS,2010,39(02):7.
[2]李德林.,刘强,高振儒..建筑物附近大量石方爆破振动监测及控制[J].爆破器材,2009,38(04):30.
　LI Delin,LIU Qiang,GAO Zhenru.Ground Vibration Monitoring and Control of the Mass Rock Blasting Excavation near Building[J].EXPLOSIVE MATERIALS,2009,38(02):30.
[3]史秀志王怀勇刘金明江文君.基于粗糙集的影响爆破振动特征参量因素的敏感性分析[J].爆破器材,2009,38(02):1.
　SHI Xiuzhi,WANG Huaiyong,LIU Jinming.,et al.Sensitivity Analysis of the Factors Impact of Blasting Vibration Characteristic Parameters Based on Rough Set Theory[J].EXPLOSIVE MATERIALS,2009,38(02):1.
[4]宁强,方向,汪明星.阳江核电站负挖爆破地震波衰减参数的回归分析与研究[J].爆破器材,2009,38(02):29.
　NING Qiang,FANG Xiang,WANG Mingxing.Regression and Analysis for Attenuation Parameters of Blasting Seismic Wave in Negative Digging at Yangjiang Nuclear Power Station[J].EXPLOSIVE MATERIALS,2009,38(02):29.
[5]郭涛,冯彬,李裕春,等.不同起爆方式对水下深孔爆破危害效应影响的数值模拟[J].爆破器材,2012,41(01):29.
　GUO Tao,FENG Bin,LI Yuchun,et al.Numerical Simulation of Harmful Effect of Underwater Deephole Blasting with Different Ignition Mode[J].EXPLOSIVE MATERIALS,2012,41(02):29.
[6]刘超①,李东涛②,欧仙荣①,等.电子雷管在紫金山金铜矿的应用[J].爆破器材,2012,41(01):35.
　LIU Chao,LI Dongtao,OU Xianrong,et al.Application of Electronic Detonator in Zijinshan Gold Copper Mine[J].EXPLOSIVE MATERIALS,2012,41(02):35.
[7]王洪刚①,王洪强②,陈郁华③,等.复杂环境下水下爆破振动效应控制技术[J].爆破器材,2012,41(02):24.
　WANG Honggang,WANG Hongqiang,CHEN Yuhua,et al.The Control of the Underwater Blasting Vibration Effect in Complex Environment[J].EXPLOSIVE MATERIALS,2012,41(02):24.
[8]王振雄,顾文彬,秦入平,等.水下深孔爆破间隔装药起爆时差影响的数值模拟[J].爆破器材,2012,41(03):8.
　WANG Zhenxiong,GU Wenbin,QIN Ruping,et al.Numerical Simulation of the Effect of Initiation Time Difference on Underwater Deephole Compartment Blasting[J].EXPLOSIVE MATERIALS,2012,41(02):8.
[9]徐振洋,杨军,陈占扬.临近隧道爆破振动的能量分布特征研究[J].爆破器材,2013,42(03):5.[doi:10.3969/j.issn.1001-8352.2013.03.002]
　XU Zhenyang,YANG Jun,CHEN Zhanyang.Research on the Energy Distribution of Blasting Vibration Signals from Nearby Tunnel[J].EXPLOSIVE MATERIALS,2013,42(02):5.[doi:10.3969/j.issn.1001-8352.2013.03.002]
[10]闫鸿浩,刘智远,李晓杰.烟囱爆破拆除及其振动测试分析[J].爆破器材,2013,42(03):21.[doi:10.3969/j.issn.1001-8352.2013.03.005]
　YAN Honghao,LIU Zhiyuan,LI Xiaojie.Chimney Blasting Demolition and Analysis of Vibration Measurement[J].EXPLOSIVE MATERIALS,2013,42(02):21.[doi:10.3969/j.issn.1001-8352.2013.03.005]

备注/Memo

备注/Memo:
收稿日期：2023-11-26
基金项目：山东省自然科学基金(ZR2021QE246)
第一作者：马亚（1986—），女，高级工程师，主要从事山岭隧道爆破控制技术创新应用研究。E-mail: 398221094@qq.com
通信作者：张万志（1988—），男，讲师，主要从事隧道工程爆破机理及爆破参数优化研究。E-mail: zwzwanzhi@163.com
更新日期/Last Update: 2025-04-07