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金属矿山 ›› 2008, Vol. 38 ›› Issue (12): 135-138.

• 机电与自动化 • 上一篇    下一篇

爆破震动信号的小波包分析

李存国1,郭建波1,张云鹏2,王玲2,孔宪军2   

  1. 1.唐山学院;2.河北理工大学
  • 收稿日期:2008-10-14 出版日期:2008-12-15 发布日期:2011-07-11
  • 基金资助:

    唐山市重点实验室资助项目(编号:07160203B-2)。

Analysis of Blasting Vibration Signals Using Wavelet Packet Method

Li Cunguo1,Guo Jianbo1,Zhang Yunpeng2,Wang Ling2,Kong Xianjun2   

  1. 1.TangShan College;2.Hebei Polytechnic University
  • Received:2008-10-14 Online:2008-12-15 Published:2011-07-11

摘要: 爆破引起的震动非常复杂,是一种典型的非平稳信号。利用小波分析良好的时频局部化性质,可以很好地对爆破地震波进行信号重构和能量分析。利用MATLAB的“db6”小波基函数,编制MATLAB程序,把震动信号划分为几个频带进行分析,在每个频带上选取该波段的速度峰值及其主频,据此得出不同频带上的能量分布情况。通过对实测爆破震动信号的小波包分析可以看出,大多数信号的主频位于0~15 Hz以内的中低频带内,这对爆破震动的安全控制具有现实意义。

关键词: 爆破震动信号, 小波包分解, 时-频分析

Abstract: Blasting-caused vibration is a very complex typical non-stationary signal. The wavelet packet method characterized by good time-frequency localization can be used to make signal reconstruction and energy analysis of blasting vibration wave. “db6” wavelet function of MATLAB is used to compile a MATLAB program to classify the vibration signals into several frequency bands. A velocity peak value and the main frequency are selected from each frequency band and based on this, the energy distribution of different frequency bands are found. It is seen from the wavelet packet analysis of the practically measured blasting vibration signals that the main frequencies of most signals are in the 0~15 Hz low and intermediate frequency bands, which is of practical significance to the safety control of blasting vibration.

Key words: Blasting vibration signals, Wavelet packet decomposition, Time-frequency analysis