基于VMD-Teager的露天边坡爆破振动信号能量特征研究

摘要
图/表
参考文献(29)
相关文章 (15)

全文: PDF (2261 KB) HTML (1 KB)
输出: BibTeX | EndNote (RIS)

摘要爆破振动信号特征分析是研究边坡稳定性的有效方法之一，结合模拟退火算法(Simulated Annealing, SA)局部搜索能力强和遗传算法(Genetic Algorithm, GA)全局自动寻优的特点，选取模糊熵(Fuzzy Entropy, FE)为模态分量的适应度函数，求解变分模态分解(Variational Modal Decomposition, VMD)的最优分解参数，建立以模态分量(Intrinsic Modal Function, IMF)的频带分布为指标、趋势项判别准则及复相关系数原理相结合的趋势项去除方法；Teager能量算子解调单分量信号的解调速度、精度均高于Hilbert变换。综上，提出了基于趋势项滤除的VMD-Teager能量算子解调法，用来获取爆破振动信号的能量分布特征。某矿山测得爆破振动信号分析结果表明：与EMD法相比，基于参数优化VMD算法在去除信号趋势项方面更精确有效，能够解决原始振动信号中存在的基线偏移及低频干扰等问题。爆破振动能量以低频为主，PPV、主频率、能量呈现出了“波浪”式的变换态势。PPV、主频率的衰减速度与放大系数在同一量级，但能量峰值的衰减速度与放大系数都远远大于PPV、主频率的变化速度，是PPV、主频率衰减速度的3.42~5.9倍，放大系数的2.07~3.12倍。
关键词：爆破振动；变分模态分解；Teager；趋势项；能量分布

	服务

	把本文推荐给朋友
	加入我的书架
	加入引用管理器
	E-mail Alert
	RSS
	作者相关文章
	徐振洋1
	莫宏毅1
	包松1
	赵建宇1
	王雪松2
	刘鑫1
	陈占扬3

关键词 ：爆破振动, 变分模态分解, Teager, 趋势项, 能量分布

Abstract：The characteristic analysis of blasting vibration signal is one of the most effective methods to study slope stability. Combining the strong local search ability of Simulated Annealing (SA) and the characteristics of global automatic optimization of Genetic Algorithm (GA). Fuzzy Entropy (FE) is selected as the fitness function of the modal component. Solve the optimal decomposition parameters of Variational Modal Decomposition (VMD). And then, by combing the Intrinsic Modal Function (IMF), criterion of trend item and complex correlation coefficient principle, the propose a trend term removal method. Since the Teager energy operator demodulation of single component signal has higher demodulation speed and accuracy than Hilbert transform. The VMD-Teager energy operator demodulation method based on trend term filtering is proposed, to obtain the energy distribution characteristics of blast vibration signals. The result demonstrates that VMD is more accurate and effective than EMD in removing signal trend terms. It can solve the problem, such as baseline deviation and low frequency interference existing in original vibration signal. The blasting vibration energy is mainly low frequency. PPV, primary frequency and energy perform a “W” pattern of transformation. The attenuation speed of PPV and primary frequency is in the same order of magnitude as the amplification coefficient. However, the attenuation speed and amplification coefficient of the energy peak are much higher than the variation speed of PPV and primary frequency, which are 3.42 ~ 5.9 times of PPV and primary frequency, and 2.07 ~ 3.12 times of amplification coefficient.

Key words： blasting vibration Variational Mode Decomposition Teager trend term energy distribution

收稿日期: 2022-01-05 出版日期: 2023-04-15

引用本文:

徐振洋1，莫宏毅1，包松1，赵建宇1，王雪松2，刘鑫1，陈占扬3. 基于VMD-Teager的露天边坡爆破振动信号能量特征研究[J]. 振动与冲击, 2023, 42(7): 77-88.
XU Zhenyang1, MO Hongyi1, BAO Song1, ZHAO Jianyu1, WANG Xuesong2, LIU Xin1, CHEN Zhanyang3. Energy characteristics of blast vibration signals of open-pit slope based on VMD-Teager. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(7): 77-88.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2023/V42/I7/77

[1] 齐留洋, 王德胜, 刘占全, 等. 改进加权距离判别分析模型的边坡爆破稳定性判别[J]. 中国有色金属学报, 2021, 31(07):1989-1996.
QI L Y, WANG D S, LIU Z Q, et al. Improved distance discriminant analysis model for slope blasting stability discrimination[J]. The Chinese Journal of Nonferrous Metals, 2021, 31(07):1989-1996.
[2] 孙鹏昌, 卢文波, 雷振, 等. 单薄山体岩质高边坡爆破振动响应分析及安全控制[J]. 岩土工程学报, 2021, 43(05):877-885.
SUN P C, LU W B, LEI Z, et al. Blasting vibration response and control of high rock slopes of the thin mountain [J]. Chinese Journal of Geotechnical Engineering, 2021, 43(05):877-885.
[3] 杜瑞锋, 裴向军, 贾俊, 等.含软弱夹层岩质边坡在爆破地震波下的试验研究[J].土木工程学报, 2021, 54(04):95-106.
DU R F, PEI X J, JIA J, et al. Experimental study on rock slope with weak interlayer under blasting seismic wave[J]. China Civil Engineering Journal, 2021, 54(04):95-106.
[4] 胡学龙, 璩世杰, 蒋文利, 等. 基于等效路径的爆破地震波衰减规律[J]. 爆炸与冲击, 2017, 37(6):966-975.
HU X L, QU S J, JIANG W L, et al. Attenuation law of blasting induced ground vibrations based on equivalent path[J]. Explosion and Shock Waves, 2017, 37(6):966-975．
[5] XUE X H, YANG X G, CHEN X. Application of a support vector machine for prediction of slope stability[J]. Science China (Technological Sciences), 2014, 57(12):2379-2386.
[6] HAN L, SHU J, HANIF N R, et al. Influence law of multipoint vibration load on slope stability in Xiaolongtan open pit mine in Yunnan, China[J]. Journal of Central South University, 2015, 22(12):4819-4827.
[7] 曹晓立, 高文学, 吕洪涛, 等. 爆破振动信号的Hilbert-Huang变换分析与应用研究[J]. 兵工学报, 2016, 37(S2):107-113.
CAO X L, GAO W X, LU H T. et al. Analysis of Blasting Vibration Signal by HHT Transform[J]. Acta Armamentarii, 2016, 37(S2):107-113.
[8] 张声辉, 刘连生, 钟清亮, 等. 露天边坡爆破地震波能量分布特征研究[J]. 振动与冲击, 2019, 38(7):224-232.
ZHANG S H, LIU L S, ZHONG Q L, et al. Energy distribution characteristics of blast seismic wave on open pit slope[J]. Journal of Vibration and Shock, 2019, 38(7):224-232.
[9] 徐振洋, 杨军, 陈占扬, 等. 爆破地震波能量分布研究[J]. 振动与冲击, 2014, 33(7):38-42
XU Z Y, YANG J, CHEN Z Y, et al. Blasting seismic waves energy distribution based on EEMD[J]. Journal of Vibration and Shock, 2014, 33(7):38-42.
[10] 韩亮, 刘殿书, 辛崇伟, 等. 深孔台阶爆破近区振动信号趋势项去除方法[J]. 爆炸与冲击, 2018, 38(05):1006-1012.
HAN L, LIU B S, XIN C W, LIANG S F, et al. Trend removing methods of vibration signals of deep hole bench blasting in near field[J]. Explosion and Shock Waves, 2018, 38(05):1006-1012.
[11] 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 Mathematical Physical & Engineering Sciences, 1998, 454(1971):903-995.
[12] 张胜, 凌同华, 曹峰, 等. 模式自适应连续小波去除趋势项方法在爆破振动信号分析中的应用[J]. 爆炸与冲击, 2017, 37(2):255-261.
ZAHNG S, LING T H, CAO F, et al. Application of removal trend method of pattern adapted continuous wavelet to blast vibration signal analysis[J]. Explosion and Shock Waves, 2017, 37(2):255-261.
[13] 张军, 潘泽鑫, 郑玉新, 等. 振动信号趋势项提取方法研究[J]. 电子学报, 2017, 45(1):22-28.
ZHANG J, PAN Z X, ZHENG Y X, et al. Research on Vibration Signal Trend Extraction[J]. Acta Electronica Sinica, 2017, 37(2):255-261.
[14] 李晨, 梁书锋, 刘传鹏, 等. 基于改进的集合经验模态分解的爆破振动信号趋势项消除方法[J]. 北京理工大学学报, 2021, 41(06):636-641.
LI C, LIANG S F, LIU C P, et al. Trend Removing Method of Blasting Vibration Signals Based on MEEMD[J]. Journal of Beijing Institute of Technology, 2021, 41(06):636-641.
[15] 陈亮, 刘宏立, 郑倩, 等. 基于EEMD-SVD-PE的轨道波磨趋势项提取[J]. 哈尔滨工业大学学报, 2019, 51(5):177-183.
CHEN L, LIU H L, ZHENG Q, et al. An EEMD-SVD-PE approach to extract the trend of track irregularity[J]. Journal of Harbin Institute of Technology, 2019, 51(5):177-183.
[16] 胡剑超, 练继建, 马斌, 等. 基于CEEMD和小波包阈值的组合降噪及泄流结构的模态识别方法[J]. 振动与冲击, 2017, 36(17):9-17.
HU J C, LIAN J J, MA B, et al. A de-noising and modal identification combined method based on CEEMD and wavelet packet threshold for flood discharge structures[J]. Journal of Vibration and Shock, 2017, 36(17):9-17.
[17] DRAGOMIRETSKIY K, ZOSSO D. Variational mode decomposition[J]. IEEE Transactions on Signal Processing, 2014, 62(3):531-544．
[18] 许伟, 程刚, 黄林, 等. 基于混沌模拟退火PSO算法的威布尔分布参数估计应用研究[J]. 振动与冲击, 2017, 36(12):134-139.
XU W, CHENG G, HUANG L, et al. A chaotic simulated PSO algorithm application for Weibull distribution parameter estimation[J]. Journal of Vibration and Shock, 2017, 36(12):134-139.
[19] 娄军强, 魏燕定, 李国平, 等. 基于遗传优化算法的柔性机械臂抑振轨迹规划研究[J]. 振动与冲击, 2016, 35(11):1-6+40.
LOU J Q, WEI Y D, LI G P, et al.Optimal trajectory planning of a flexible manipulator for its vibration suppression using genetic algorithm[J]. Journal of Vibration and Shock, 2016, 35(11):1-6+40.
[20] 江春冬, 王景玉, 杜太行, 等. 基于变分模态分解算法的单通道无线电混合信号分离[J]. 上海交通大学学报, 2018, 52(12):1618-1626.
JIANG C D, WANG J Y, DU T H, et al. Separation of Single Channel Radio Mixed Signal Based on Variational Mode Decomposition[J]. Journal of Shanghai Jiaotong University, 2018, 52(12):1618-1626.
[21] 何勇, 王红, 谷穗. 一种基于遗传算法的VMD参数优化轴承故障诊断新方法[J]. 振动与冲击, 2021, 40(06):184-189.
HE Y, WANG H, GU S. New fault diagnosis approach for bearings based on parameter optimized VMD and genetic algorithm[J]. Journal of Vibration and Shock, 2021, 40(06):184-189.
[22] SHI X Z, QIU X Y, ZHOU J, et al. Application of Hilbert-Huang transform based delay time identification in optimization of short millisecond blasting[J]. Transactions of Nonferrous Metals Society of China, 2016, 26(07):1965-1974.
[23] PARK Y S, LEE S M. Speech enhancement through voice activity detection using speech absence probability based on Teager energy[J]. Journal of Central South University, 2013, 20(02):424-432.
[24] 齐咏生, 刘飞, 李永亭, 等. 基于MK-MOMEDA和Teager能量算子的风电机组滚动轴承复合故障诊断[J]. 太阳能学报, 2021, 42(07):297-307.
QI Y S, LIU F, LI Y T, et al. Compound Fault Diagnosis of Wind Turbine Rolling Bearing Based on MK-MOMEDA and Teager Energy Operator[J]. Acta Energiae Solaris Sinica, 2021, 42(07):297-307.
[25] 樊新海, 何嘉武, 王战军, 等. 基于Teager能量算子的解调方法[J]. 装甲兵工程学院学报, 2009(04):64-67.
FAN X H, HE J W, W Z J, et al. Demodulation Approach Based on Teager Energy Operator[J]. Journal of Academy of Armored Force Engineering, 2009, 23(04):60-63.
[26] 韩亮, 李红江, 辛崇伟, 等. 深孔台阶爆破近区振动强度分布的模拟研究[J]. 煤炭学报, 2018, 43(S1):71-78.
HAN L, LI H J, XIN C W, et al. Simulation study on distribution of vibration intensity in nearfield of deep hole bench blasting[J]. Journal of China Coal Society, 2018, 43(S1):71-78.
[27] 胡英国, 吴新霞, 赵根, 等. 水工岩石高边坡爆破振动安全控制标准的确定研究[J]. 岩石力学与工程学报, 2016, 35(11):2208-2216.
HU Y G, WU X X, ZHAO G, et al. Determination of safety control standard for high rock slopes under blasting vibration[J]. Chinese Journal of Rock Mechanics and Engineering, 2016, 35(11):2208-2216.
[28] 武旭, 张云鹏, 郭奇峰. 台阶地形爆破振动放大与衰减效应研究[J]. 爆炸与冲击, 2017, 37(06):1017-1022.
WU X, ZHANG Y P, GUO Q F. Amplification and attenuation effect of blastingvibration on step topography [J]. Explosion and Shock Waves, 2017, 37(06):1017-1022.
[29] 徐振洋, 杨军, 陈占扬. 高精度雷管逐孔起爆地震信号的精确时频分析[J]. 煤炭学报, 2013, 38(S2):331-336.
XU Z Y, YANG J, CHEN Z Y. Precise time-frequency analysis on seismic signal by hole initiation using high-precision detonators[J]. Journal of China Coal Society, 2013, 38(S2):331-336