EMD和FSWT组合方法在爆破振动信号分析中的应用研究

杨仁树,付晓强,杨国梁,陈骏,陈玮

振动与冲击 ›› 2017, Vol. 36 ›› Issue (2) : 58-64.

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振动与冲击 ›› 2017, Vol. 36 ›› Issue (2) : 58-64.
论文

EMD和FSWT组合方法在爆破振动信号分析中的应用研究

  • 杨仁树,付晓强,杨国梁,陈骏,陈玮
作者信息 +

Application of EMD and FSWT combination method in blasting vibration signal analysis

  • YANG Renshu,FU Xiaoqiang,YANG Guoliang,CHEN Jun,CHEN Wei
Author information +
文章历史 +

摘要

针对传统经验模态分解EMD时频分析功能不足的缺陷,提出了基于经验模态分解EMD和频率切片小波变换FSWT组合的爆破振动信号分析方法。对实际工程采集到的爆破振动信号进行EMD分解,根据相关性系数确定优势分量实现信号重构,并获取重构信号全频带FSWT时频特征。利用FSWT逆变换能切割任意频率区间的特点,将重构信号选择时间、频率切片区间进行了更为细化时频特征提取。研究了EMD-FSWT组合方法、Hilbert-Huang变换(HHT)、小波变换(WT)三种方法的消噪滤波效果,并与短时Fourier变换(STFT)、重排平滑Wigner-Ville分布(RSPWVD)两种传统时频方法进行了对比。分析结果表明:EMD-FSWT组合方法,对瞬态信号在时频域上的分辨率更高,消噪和滤波效果好,适于对爆破振动信号进行更为精细化的时频特征分析。

Abstract

In view of the shortcomings of the traditional empirical time-frequency analysis methods,a blasting vibration signal analysis method based on EMD-FSWT was proposed. The EMD of blasting vibration signals collected in actual engineering was carried out,according to the correlation coefficient,to determine the dominant component and reconstruct the signal,and the full band FSWT time-frequency characteristics of the reconstructed signal were then provided. In virtue of the characteristic of the inverse transformation of FSWT,that any frequency range of the signal can be cut out,the time and frequency ranges of the reconstructed signal were chosen and more refined time-frequency feature extraction was achieved. The filtering de-noising effects of the EMD-FSWT combination method,Hilbert Huang transform (HHT) and wavelet transform (WT),were analysed and compared with those of two traditional methods,the short time Fourier transform (STFT) and rearrangement smooth Wigner-Ville distribution (RSPWVD).The analysis results show that: the EMD-FSWT combination method has higher time-frequency domain resolution in transient signal analysis. Its de-noising and filtering effect is good and is more suitable for precise time-frequency characteristics analysis for the blasting vibration signal.

关键词

爆破振动 / 经验模态分解 / 频率切片小波 / 时频分析 / 能量分布

Key words

blasting vibration / empirical mode decomposition (EMD) / frequency slice wavelet transform (FSWT) / time-frequency analysis / energy distribution

引用本文

导出引用
杨仁树,付晓强,杨国梁,陈骏,陈玮. EMD和FSWT组合方法在爆破振动信号分析中的应用研究[J]. 振动与冲击, 2017, 36(2): 58-64
YANG Renshu,FU Xiaoqiang,YANG Guoliang,CHEN Jun,CHEN Wei. Application of EMD and FSWT combination method in blasting vibration signal analysis[J]. Journal of Vibration and Shock, 2017, 36(2): 58-64

参考文献

[1]李舜酩,郭海东,李殿荣. 振动信号处理方法综述[J]. 仪器仪表学报,2013,34(08):1907-1915.
LI Shunming,GUO Haidong,LI Dianrong.Review of vibration signal processing
methods [J]. Chinese Journal of Scientific Instrument,2013,34(08):1907-1915.
[2]赵迎,乐友喜,黄健良,等.CEEMD与小波变换联合去噪方法研究[J].地球物理学进展,2015,30(6):2870-2877.
ZHAO Ying,LE Youxi,HUANG Jianliang,et al.CEEMD and wavelet transform jointed de-noising method[J].Progress in Geophysics,2015,30(6):2870-2877.
[3] Yan Z, Miyamoto A, Jiang Z. Frequency slice wavelet transform for transient vibration response analysis [J]. Mechanical Systems and Signal Processing, 2009,23(5): 1474-1489.
[4]郭涛,方向,谢全民,等. 频率切片小波变换在爆破振动信号时频特征精确提取中应用[J]. 振动与冲击,2013,32(22):73-78.
GUO Tao,FANG Xiang,XIE Quan-min,et al.Application of FSWT in accurate extraction of time-frequency features for blasting vibration signals [J]. Journal of vibration and shock, 2013,32(22):73-78.
[5]汤宝平,钟佑明,程发斌.基于 HHT 的非平稳信号分析仪的研究[J].仪器仪表学报,2007,28( 1) : 29- 33.
TANG Bao-ping,ZHONGYou-ming,CHENG Fa-bin.Research on nonstationary signal analyzer based on HHT[J].Chinese Journal of Scientific Instrument,
2007,28( 1) : 29- 33.
[6] Yan Z, Miyamoto A, Jiang Z.Frequency slice algorithm for modal signal separation and damping identification [J]. Computers and Structures,2011, 89(1-2):14-26.
[7]张宇辉,刘梦婕,黄南天,等. 频率切片小波变换在局部放电信号分析中的应用[J]. 高电压技术,2015,41(07): 2283-2293.
ZHANG Yu-hui, LIU Meng-jie, HUANG Nan-tian,et al.Application of Frequency Slice Wavelet Transform in Partial Discharge Signal Analysis [J].High Voltage Engineering,2015,41(07):2283-2293.
[8]段晨东,高强,徐先峰. 频率切片小波变换时频分析方法在发电机组故障诊断中的应用[J]. 中国电机工程学报,2013,33(32):96-103+16.
DUAN Chendong,GAO Qiang,XU Xianfeng.Generator Unit Fault Diagnosis Using the Frequency Slice Wavelet Transform Time-frequency Analysis Method [J]. Proceedings of the CSEE, 2013, 33(032): 96-103+16.
[9]赵国彦,邓青林,马举. 基于FSWT时频分析的矿山微震信号分析与识别[J]. 岩土工程学报,2015,37(02):306-312.
ZHAO Guoyan,DENG Qinglin,MA Ju.Recognition of mine microseismic signals based on FSWT time-frequency analysis [J].Chinese Journal of Geotechnical Engineering, 2015,37(02):306-312.
[10]李成武,解北京,杨威,等. 基于HHT法的煤冲击破坏SHPB测试信号去噪[J]. 煤炭学报,2012,37(11):1796-1802.
LI Cheng wu,XIE Beijing,YANG Wei,et al.Coal impact damage SHPB testing signal de-noising based on HHT method [J].Journal of China Coal Society,2012,37(11):1796-1802.
[11]李精明,魏海军,魏立队,等.摩擦振动信号的经验模式分解和多重分形研究 [J]. 振动与冲击, 2016, 35(3): 198-203.
LI Jingming,WEI Haijun,WEI Lidui,et al.Empirical mode decomposition and multifractal of frictional vibration signal [J].Journal of Vibration and Shock,2016, 35(3): 198-203.
[12]邹云屏,李 潇. 信号变换与处理[M]. 武汉:华中理工大学出版社,1993. 8–12.
ZOU Yunping,LI Xiao.Signals Transform and Processing[M].Wuhan: Hua zhong University of Science and Technology Press,1993.8–12.
[13]庞学苗,李建伟,邢宗义,等. 基于频率切片小波变换的轨道列车轮对振动信号分析[J]. 铁道机车车辆,2015,35(S1):26-31.
PANG Xuemiao,LI Jianwei,XING Zongyi,et al.Analysis of wheel-rail vibration signal based on frequency sliced wavelet transform [J].Railway Locomotive & Car,2015,35(S1):26-31.
[14]何浩祥,陈奎,闫维明. 基于小波包变换和时变频率的结构地震损伤评估[J]. 振动与冲击,2016,35(7):23-30.
HE Haoxiang,CHEN Kui,YAN Weiming.Structural seismic damage assessment based on wavelet packet transformation and time-varying frequencies[J]. Journal of Vibration and Shock,2016,35(7):23-30.
[15]谢全民,龙源,钟明寿,等. SGWT在爆破振动信号信噪分离中的应用研究[J]. 振动与冲击,2012,31(01):24-28+43.
XIE Quanmin,LONG Yuan,ZHONG Mingshou,et al.Application of SGWT in separation of noises from a blast vibration signal[J]. Journal of Vibration and Shock, 2012, 31(01):24-28+43.
[16]路亮,龙源,谢全民,等. 爆破振动信号的提升小波包分解及能量分布特征[J]. 爆炸与冲击,2013,33(02):140-147.
LU Liang,LONG Yuan,XIE Quanmin,et al.Decomposition and energy distribution of blasting vibration signal based on second generation wavelet packet(SGWP) [J]. Explosion and Shock Waves,2013,33(02):140-147.
[17]王 姣,李振春,王德营.基于 CEEMD 的地震数据小波阈值去噪方法研究[J].石油物探,2014,53(2):164—171.
WANG Jiao,LI Zhenchun,WANG Deying. A method for wavelet threshold denoising of seismic data based on CEEMD [J].Geophysical Prospecting for Petroleum,2014,53(2) : 164—171.
[18]郭远晶,魏燕定,周晓军. 基于STFT时频谱系数收缩的信号降噪方法[J]. 振动.测试与诊断,2015,35(6):1090-1096+1201.
GUO Yuanjing,WEI Yanding,ZHOU Xiaojun.Signal denoising method based on STFT time-frequency spectrum coefficients shrinkage [J]. Journal of Vibration,Measurement &Diagnosis,2015,35(6):1090-1096+1201.
[19]张艳博,梁鹏,刘祥鑫,等. 基于多参量归一化的花岗岩巷道岩爆预测试验研究[J]. 岩土力学,2016,37(1):96-104.
ZHANG Yanbo,LIANG Peng,LIU Xiangxin,et al.An experimental study of predicting rockburst in granitic roadway based on multiparameter normalization [J].Rock and Soil Mechanics,2016,37(1):96-104.
[20]赵明生,张建华,易长平. 基于小波分解的爆破振动信号RSPWVD二次型时频分析[J]. 振动与冲击,2011,30(02):44-47.
ZHAO Ming-sheng,ZHANG Jian-hua,YI Chang-ping.Blasting vibration signal RSPWVD quadratic time-frequency analysis based on wavelet decomposition[J]. Journal of Vibration and Shock, 2011, 30(2): 44-47.

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