徐振洋;陈占扬;郭连军;于妍宁;
XU Zhen-yang;CHEN Zhan-yang;GUO Lian-jun;YU Yan-ning;College of Mining Engineering,University of Science and Technology Liaoning;State Key Laboratory of Explosion Science and Technology,School of Mechatronical Engineering,Beijing Institute of Technology;

• 1:辽宁科技大学矿业工程学院
• 2:北京理工大学机电学院爆炸科学与技术国家重点实验室

摘要(Abstract)：

针对爆破振动信号具有非线性、随机性较强的特点,提出利用局部波分解(Local Mean Decomposition,LMD)处理并分析爆破振动信号。结合露天铁矿逐孔起爆方式下爆破振动测试信号分析,研究信号的时频及能量分布特征。结果表明:LMD方法能完整地分解重构爆破信号,有效减少模态混叠现象,更加真实反映信号的原始信息;相比经验模态分解方法(Empirical Mode Decomposition,EMD)、LMID方法的端点效应轻微,具有较高的解凋精度;LMID方法可以精确分析振动能量的分布规律,有利于进一步识别爆破本身的力学作用特征。
According to the characteristic of higher randomness and larger interference of blasting vibration signal,blasting vibration signal was analyzed using Local Mean Decomposition(LMD) method.The signal amplitude frequency and energy distribution feature were investigated in detail combined with Open-pit Iron Mine of hole by hole blasting vibration testing signal.The results illustrated that LMD had an accurate reconstruction effect on the characteristic of blasting signal time and frequency,and it could reflect the complete information of original signal.Especially,compared with the Empirical Mode Decomposition(EMD),the LMD could apparently reduce the end effect of blasting vibration signal in the transformation,which improved the demodulation accuracy effectively.Meanwhile,analyzing the signal vibration energy distribution in frequency bands could further identify the characteristics of blasting to guide the blasting production preferably.

关键词(KeyWords)： 爆破振动;爆炸力学;信号分析;局部波分解;能量
Blasting vibration;Explosion mechanics;Signal analysis;LMD;Energy

Abstract:

Keywords:

基金项目(Foundation): 国家自然科学基金资助项目(51504129)

作者(Authors): 徐振洋;陈占扬;郭连军;于妍宁;
XU Zhen-yang;CHEN Zhan-yang;GUO Lian-jun;YU Yan-ning;College of Mining Engineering,University of Science and Technology Liaoning;State Key Laboratory of Explosion Science and Technology,School of Mechatronical Engineering,Beijing Institute of Technology;

参考文献(References)：

• [1]李夕兵,凌同华,张义平.爆破震动信号分析理论与技术[M].北京:科学出版社,2009:226-239.LI Xi-bing,LING Tong-hua,ZHANG Yi-ping.Analysis of blast vibration signals-theories and methods[M].Beijing:Science Press Ltd.,2009:226-239.
• [2]言志信,彭宁波,江平,等.爆破振动安全标准探讨[J].煤炭学报,2011,36(8):1 281-1 284.YAN Zhi-xin,PENG Ning-bo,JIANG Ping,et al.Research about blasting vibration safety criteria[J].Journal of China Coal Society,2011,36(8):1 281-1284.
• [3]唐飞勇,王意堂,梁开水.爆破振动信号特征分析的应用探讨[J].爆破,2010,27(4):110-115.TANG Fei-yong,WANG Yi-tang,LIANG Kai-shui.Characteristics analysis of blasting vibration signals of open pit[J].Blasting,2010,27(4):110-115.
• [4]中国生.房营光,徐国元.基于小波变换的建(构)筑物爆破振动效应评估研究[J].振动与冲击.2011,28(8):121-124.ZHONG Guo-sheng,FANG Ying-guang,XU Guoyuan.Study on blasting vibration effect assessment of structure based on wavelet transform[J].Journal of Vibration and Shock,2011,28(8):121-144.
• [5]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(11):38-42.XU Zhen-yang.YANG Jun,CHEN Zhan-yang,et al.Blasting seismic waves energy distribution study based on EEMD[J].Journal of Vibration and Shock,2014,33(11):38-42.
• [6]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 the Royal Society of London Series A-Mathematical Physical and Engineering Sciences,1998,454:903-995.
• [7]HUANG N E.WU Z H.LONG S R,et al.On instantaneous frequency.Advances in adaptive data analysis[J].World Scientific,2009,1(2):177-229.
• [8]SMITH J S.The local mean decomposition and its application to EEG perception data[J].Journal of the Royal Society Interface,2005(2):443-454.
• [9]RANDALL R B.ANTONl J.CHOBSAARD S.The relationship between spectral correlation and envelope analysis in the diagnostics of bearing faults and other cyclostationary machine signals[J].Mechanical Systems and Signal Processing,2001,15(5):945-962.
• [10]程军圣.张亢,杨宇.等.局部均值分解与经验模式分解的对比研究[J].振动与冲击,2009,28(5):13-16.CHENG Jun-shen,ZHANG Kang,YANG Yu,et al.Comparison between the method of local mean decomposition and empirical mode decomposition[J].Journal of Vibration and Shock,2009,28(5):13-16.
• [11]许宝杰,张建民,徐小力.等.抑制EMD端点效应方法的研究[J].北京理工大学学报,2006.26(3):196-200.XU Bao-jie,ZHANG Jian-min,XU Xiao-li.et al.A study on the method of restraining the ending effect of empirical mode decomposition(EMD)[J].Transactions of Beijing Institute of Technology,2006,26(3):196-200.
• [12]HUANGN E,WU M LC,LONGS R,et al.A confidence limit for the empirical mode decomposition and Hilbert spectral analysis[J].Proceedings of the Royal Society of London.Series A,Mathematical,Physical and Engineering Sciences,2003,459,2 317-2 345.
• [13]于妍宁,徐振洋,郭连军,等.岩石动态特性对爆破振动能量分布的影响[J].爆破器材.2015,44(6):16-19.YU Yan-ning,XU Zhen-yang,GUO Lian-jun,et al.The influence of rock dynamic characteristics on distribution of blasting vibration[J].Explosive Materials,2015,44(6):16-19.
• [14]程军圣,杨宇,于德介.一种新的时频分析方法局域均值分解方法[J].振动与冲击,2008,27(S):129-131.CHENG Jun-sheng,YANG Yu,YU De-jie.A new time frequency analysis method—the local mean decomposition method[J].Journal of Vibration and Shock,2008,27(S):129-131.
• [15]王振宇,梁旭.陈银鲁,等.基于输入能量的爆破振动安全评价方法研究[J].岩石力学与工程学报,2010,29(12):2 492-2 499.WANG Zhen-yu,LIANG Xu.CHEN Yin-lu,et al.Study of safety evaluation method of blasting vibration based on input energy[J].Chinese Journal of Rock Mechanics and Engineering,2010,29(12),2 492-2 499.