SGWP算法在爆破振动信号分析中的应用研究

谢全民;龙源;徐全军;唐丙文;路亮

振动与冲击 ›› 2012, Vol. 31 ›› Issue (18) : 40-45.

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PDF(1730 KB)
振动与冲击 ›› 2012, Vol. 31 ›› Issue (18) : 40-45.
论文

SGWP算法在爆破振动信号分析中的应用研究

  • 谢全民1,龙源1,徐全军1,唐丙文2,路亮1
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RESEARCH ON THE APPLICATION OF SGWT ALGORITHM IN BLASTING VIBRATION SIGNAL ANALYSIS

  • XIE Quan-min, LONG Yuan, XU Quan-jun, ZHONG Ming-shou, LU Liang,
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摘要

基于提升模式研究了二代小波包(SGWP)算法,成功用于爆破振动测试数据的噪声去除,为准确提取爆破振动信号特征奠定了基础。采用SGWP改进算法快速、精确地实现了爆破振动信号各频带相对能量分布分析,同时选取主振频带内能量占优的主分析二代小波包表征爆破振动信号的时频特征。将SGWP算法引入到爆破振动效应分析领域,为构建大型网络化爆破振动测试系统与控制平台提供了技术支持和数据分析基础,具有较好的应用前景。

Abstract

The Second generation wavelet packet (SGWP) algorithm was studied under the mode of lifting scheme,and was successfully used in the de-noising of blasting vibration monitoring signals, which laid important foundation for extracting characteristics of blasting vibration signals. The relative energy distribution of each frequency band was got quickly and accurately, based on the SGWP algorithm, and the energy dominant wavelet packets were extracted to express the time-frequency and energy characteristics of blasting vibration signals. SGWP algorithm was introduced into blasting vibration effects analysis fields, which will provide technical supports and data analysis basis for the construction of large network blasting vibration monitoring and control platform, so it will has a good application prospect.

关键词

爆破振动 / 提升算法 / 二代小波包 / 特征提取

Key words

blasting vibration / lifting scheme / second generation wavelet packet (SGWP) / feature extraction

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谢全民;龙源;徐全军;唐丙文;路亮 . SGWP算法在爆破振动信号分析中的应用研究[J]. 振动与冲击, 2012, 31(18): 40-45
XIE Quan-min;LONG Yuan;XU Quan-jun;ZHONG Ming-shou;LU Liang;. RESEARCH ON THE APPLICATION OF SGWT ALGORITHM IN BLASTING VIBRATION SIGNAL ANALYSIS[J]. Journal of Vibration and Shock, 2012, 31(18): 40-45

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