【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。更多还原

【Abstract】 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.更多还原