爆破振动信号的小波包分解及各频段的能量分布特征

金属矿山 ›› 2007, Vol. 37 ›› Issue (11): 42-47.

爆破振动信号的小波包分解及各频段的能量分布特征

张耀平^1,2，曹平¹，高赛红²

1.中南大学；2.江西理工大学

出版日期:2007-11-15 发布日期:2012-02-09

Wavelet Packet Decomposition of Blasting Vibration Signals and Energy Distribution Characteristics of Frequency Bands

Zhang Yaoping^1,2，Cao Ping¹，Gao Saihong²

1.Central South University；2.Jiangxi University of Science and Technology

Online:2007-11-15 Published:2012-02-09

摘要/Abstract

摘要： 在结合爆破振动信号具有非平稳、持时短、时域与频域局部化等特性的基础上，通过对爆破振动信号分析技术的简介，得出了小波包分析技术的特点，并在确定小波包分解层数、优选小波包基的同时，运用能量计算公式在MATLAB7.0的语言环境下进行编程，得出了爆破振动信号能量分布的初步规律，为爆破振动信号的进一步研究奠定了理论基础。

关键词: 小波包分解, 最优小波包基, 频带, 能量分布

Abstract: In light of the characteristics of blasting vibration signals of non-stability, short duration, and time and frequency field localization, and through the brief description of the analysis technology of blasting vibration signals, the paper concludes the features of the wavelet analysis technology. Meanwhile, based on the determination of wavelet decomposition layers and the optimal selection of wavelet packet base, energy calculation formula is used in programming in MATLAB 7.0 language environment, and the preliminary law of the energy distribution of blasting vibration signals is drawn, laying a theoretical basis for the further study on blasting vibration signals.

Key words: Wavelet packet decomposition, Optimal wavelet packet base, Frequency band, Energy distribution

张耀平, 曹平, 高赛红. 爆破振动信号的小波包分解及各频段的能量分布特征[J]. 金属矿山, 2007, 37(11): 42-47.

ZHANG Yao-Ping, CAO Ping, GAO Sai-Hong. Wavelet Packet Decomposition of Blasting Vibration Signals and Energy Distribution Characteristics of Frequency Bands[J]. Metal Mine, 2007, 37(11): 42-47.

[1]	石长岩, 赵兴柱, 姜洪波, 李元辉. 爆破震动信号频带能量分布特征[J]. 金属矿山, 2014, 43(08): 6-10.
[2]	李存国, 郭建波, 张云鹏, 王玲, 孔宪军. 爆破震动信号的小波包分析[J]. 金属矿山, 2008, 38(12): 135-138.

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