SGWP算法在爆破振动信号分析中的应用研究

英文篇名：Application of sgwt algorithm in blasting vibration signal analysis
中文刊名：振动与冲击
英文刊名：Journal of Vibration and Shock
作者：谢全民 ; 龙源 ; 郭涛 ; 张怀智 ; 路亮 ; 张洋溢
英文作者：XIE Quan-min1 ; 2 ; LONG Yuan1 ; GUO Tao1 ; ZHANG Huai-zhi2 ; LU Liang1 ; ZHANG Yang-yi3(1.Engineering Institute of Engineering Corps ; University of Science & Technology of PLA ; Nanjing 210007 ; China ; 2.Department of Ammunition and Missile ; Wuhan Ordnance N.C.O Academy of PLA ; Wuhan 430075 ; China ; 3.Engineering Research and Design Institute of Guangzhou Military Region ; Guangzhou 510515 ; China)
中文关键词：爆破振动 ; 提升算法 ; 二代小波包 ; 特征提取
英文关键词：blasting vibration ; lifting scheme ; second generation wavelet packet(SGWP) ; feature extraction
出版日期：2012-09-28
机构：解放军理工大学工程兵工程学院;武汉军械士官学校弹药修理与销毁教研室;广州军区工程科研设计所;
年：2012
期：18
出版单位：振动与冲击

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。
The second generation wavelet packet(SGWP) algorithm was studied based on a lifting scheme,and was successfully used to benoise blasting vibration signals,it laid important foundation for extracting characteristics of blasting vibration signals.The relative energy distribution of each frequency band was obtained quickly and accurately based on the SGWP algorithm,and the energy dominant wavelet packets were chosen to express the time-frequency and energy characteristics of blasting vibration signals.The SGWP algorithm was introduced into blasting vibration effects analysis fields,it provided technical supports and data analysis basis for constructing a large network of blasting vibration measurement system and a control platform,so it had a good application prospect.

引文

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