岩石爆破震动信号分析的EEMD滤波方法研究
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摘要
以拉西瓦水电站坝肩岩石开挖爆破震动监测信号为分析对象,通过EEMD方法对岩石爆破震动信号进行分解,并对每个IMF分量与原信号的相关性进行分析,去除噪声分量,使去噪后的信号更能真实地体现岩石爆破震动特征。对EEMD与EMD两种方法的去噪效果进行对比分析,得出EEMD去噪方法更具优越性。
Taking the monitoring signal of blasting vibration from the excavation of the right dam abutment of Laxiwa Hydropower Station as the objective to be analyzed,the rock blasting vibration signal is decomposed through EEMD(Ensemble Empirical Mode Decomposition) method and the correlation between IMF component and primitive signal is analyzed,so as to remove the noise component and make the signal embody the characteristics of rock blasting vibration more truly.The comparative analysis of de-noising effect made between EEMD and EMD(Empirical Mode Decomposition) methods demonstrates that EEMD possesses moresuperiority over EMD.
Taking the monitoring signal of blasting vibration from the excavation of the right dam abutment of Laxiwa Hydropower Station as the objective to be analyzed,the rock blasting vibration signal is decomposed through EEMD(Ensemble Empirical Mode Decomposition) method and the correlation between IMF component and primitive signal is analyzed,so as to remove the noise component and make the signal embody the characteristics of rock blasting vibration more truly.The comparative analysis of de-noising effect made between EEMD and EMD(Empirical Mode Decomposition) methods demonstrates that EEMD possesses moresuperiority over EMD.
引文
[1]李火坤.泄流结构耦合动力分析与工作性态识别方法研究[D].天津:天津大学,2008.
[2]高勇军,陈小波,王伟策.小波分析在爆破地震信号降噪中的应用[J].爆破,1999,16(3):3-7.
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[5]熊正明,中国生.基于平移不变小波爆破振动信号去噪的应用研究[J].金属矿山,2006(2):12-15.
[6]李夕兵,张义平,左宇军,等.岩石爆破振动信号的EMD滤波与消噪[J].中南大学学报(自然科学版),2006,37(1):150-154.
[7]文莉,刘正士,葛运建.小波去噪的几种方法[J].合肥工业大学学报(自然科学版),2002,25(2):167-172.
[8]Huang N E,Shen Z.The empirical mode decomposition and Hilbertspectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London,Series A.1998,454:903-995.
[9]Wu Z,Huang N E.Ensembleempirical mode decomposition:A Noise-Assisted Data Analysis Method[C]//Proceedings of the first interna-tional conference on the advance of Hilbert-Huang Transform and it’sapplications.Taiwan:national Central University,2006.
[10]王秀杰.基于小波消噪的水文系统研究[D].天津:天津大学,2006.
[2]高勇军,陈小波,王伟策.小波分析在爆破地震信号降噪中的应用[J].爆破,1999,16(3):3-7.
[3]谢全民,龙源,钟明寿.基于小波、小波包两种方法的爆破振动信号对比分析[J].工程爆破,2009,15(1):5-9.
[4]徐学勇,程康.爆破震动信号模极大值小波消噪方法的改进[J].爆炸与冲击,2009,29(3):194-198.
[5]熊正明,中国生.基于平移不变小波爆破振动信号去噪的应用研究[J].金属矿山,2006(2):12-15.
[6]李夕兵,张义平,左宇军,等.岩石爆破振动信号的EMD滤波与消噪[J].中南大学学报(自然科学版),2006,37(1):150-154.
[7]文莉,刘正士,葛运建.小波去噪的几种方法[J].合肥工业大学学报(自然科学版),2002,25(2):167-172.
[8]Huang N E,Shen Z.The empirical mode decomposition and Hilbertspectrum for nonlinear and non-stationary time series analysis[J].Proceedings of the Royal Society of London,Series A.1998,454:903-995.
[9]Wu Z,Huang N E.Ensembleempirical mode decomposition:A Noise-Assisted Data Analysis Method[C]//Proceedings of the first interna-tional conference on the advance of Hilbert-Huang Transform and it’sapplications.Taiwan:national Central University,2006.
[10]王秀杰.基于小波消噪的水文系统研究[D].天津:天津大学,2006.
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