泥石流次声信号时频分析方法的应用研究
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摘要
泥石流是一种在山区常见的灾害,因为来势凶猛,破坏力巨大,严重威胁着山区交通、水利水电等工程设施和当地居民的生命财产安全。发生泥石流灾害时产生的次声信号可以用于泥石流预警。本文在分析泥石流次声信号特点的基础上,比较希尔伯特黄变换(HHT)时频分析方法与短时傅里叶变换(STFT)、Wigner-Ville分布(WVD)方法的优缺点,通过仿真实验,证明HHT时域分析法对泥石流产生的次声波信号的分析效果更好。
Debris flow is a common disaster in the mountains.It brings serious threat to the mountain transportation,hydraulic and hydro-power engineering and security of life and property of local residents.When debris flow happens,it is ferocious and of destructive power.Debris flow generates infrasound signals when it happens.This paper explains the characteristics of the infrasound signal which is generated by debris flow,and introduces the Hilbert Huang transform(HHT) time-frequency analysis method.Then HHT is compared with the other time-frequency analysis methods like the short-time Fourier transform(STFT) and the Wigner-Ville distribution(WVD).The simulation results show that the Hilbert Huang transform is more suitable for the analysis of infrasound signal generated by the debris flow than the other time-frequency analysis methods.
Debris flow is a common disaster in the mountains.It brings serious threat to the mountain transportation,hydraulic and hydro-power engineering and security of life and property of local residents.When debris flow happens,it is ferocious and of destructive power.Debris flow generates infrasound signals when it happens.This paper explains the characteristics of the infrasound signal which is generated by debris flow,and introduces the Hilbert Huang transform(HHT) time-frequency analysis method.Then HHT is compared with the other time-frequency analysis methods like the short-time Fourier transform(STFT) and the Wigner-Ville distribution(WVD).The simulation results show that the Hilbert Huang transform is more suitable for the analysis of infrasound signal generated by the debris flow than the other time-frequency analysis methods.
引文
[1]中国科学院成都山地灾害与环境研究所.泥石流研究与防治[M].成都:四川科学技术出版社,1989:257-262.
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[4]Huang N E,Shen Z,Long S R.A new view of nonlinear water waves:The Hilbert spectrum[J].Annual Review of Fluid Mechanics,1999,31:417-457.
[5]Peng Z K,Tse P W,Chu F L.A comparison study of im-proved Hilbert-Huang transform and wavelet transform:Ap-plication to fault diagnosis for rolling bearing[J].Mechani-cal Systems and Signal Processing,2005,19(5):974-988.
[6]Yu D,Cheng J,Yang Y.Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings[J].Mechanical Systems and Signal Processing,2005,19(2):259-270.
[7]Phillips S C,Gledhill R J,Essex J W,et al.Application of the Hilbert-Huang transform to the analysis of molecular dynamics simulations[J].Journal of Physical Chemistry A,2003,107(24):4869-4876.
[8]高云超.希尔伯特-黄变换方法的仿真研究[D].哈尔滨:哈尔滨工程大学,2005.
[9]熊学军,郭炳火,胡筱敏,等.EMD方法和Hilbert谱分析法的应用与探讨[J].黄渤海海洋,2002,20(2):12-21.
[10]葛哲学,陈仲生.Matlab时频分析技术及其应用[M].北京:人民邮电出版社,2005.
[11]He T X.Short time Fourier transform,integral wavelet transform,and wavelet functions associated with splines[J].Journal of Mathematical Analysis and Applications,1998,224(2):182-200.
[12]刘庆云,李志舜,刘朝晖.时频分析技术及研究现状[J].计算机工程,2004,30(1):171-173,184.
[13]焦叙明.时频分析及其在地震资料处理分析中的应用[D].青岛:中国海洋大学,2007.
[14]Rilling G,Flandrin P.One or two frequencies?The empir-ical mode decomposition answers[J].IEEE Transactions on Signal Processing,2008,56(1):85-95.
[2]邓拥军,王伟,钱成春,等.EMD方法及Hilbert变换中边界问题的处理[J].科学通报,2001,46(3):257-263.
[3]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,1998,454(1971):903-995.
[4]Huang N E,Shen Z,Long S R.A new view of nonlinear water waves:The Hilbert spectrum[J].Annual Review of Fluid Mechanics,1999,31:417-457.
[5]Peng Z K,Tse P W,Chu F L.A comparison study of im-proved Hilbert-Huang transform and wavelet transform:Ap-plication to fault diagnosis for rolling bearing[J].Mechani-cal Systems and Signal Processing,2005,19(5):974-988.
[6]Yu D,Cheng J,Yang Y.Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings[J].Mechanical Systems and Signal Processing,2005,19(2):259-270.
[7]Phillips S C,Gledhill R J,Essex J W,et al.Application of the Hilbert-Huang transform to the analysis of molecular dynamics simulations[J].Journal of Physical Chemistry A,2003,107(24):4869-4876.
[8]高云超.希尔伯特-黄变换方法的仿真研究[D].哈尔滨:哈尔滨工程大学,2005.
[9]熊学军,郭炳火,胡筱敏,等.EMD方法和Hilbert谱分析法的应用与探讨[J].黄渤海海洋,2002,20(2):12-21.
[10]葛哲学,陈仲生.Matlab时频分析技术及其应用[M].北京:人民邮电出版社,2005.
[11]He T X.Short time Fourier transform,integral wavelet transform,and wavelet functions associated with splines[J].Journal of Mathematical Analysis and Applications,1998,224(2):182-200.
[12]刘庆云,李志舜,刘朝晖.时频分析技术及研究现状[J].计算机工程,2004,30(1):171-173,184.
[13]焦叙明.时频分析及其在地震资料处理分析中的应用[D].青岛:中国海洋大学,2007.
[14]Rilling G,Flandrin P.One or two frequencies?The empir-ical mode decomposition answers[J].IEEE Transactions on Signal Processing,2008,56(1):85-95.
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