SGWT在爆破振动信号信噪分离中的应用研究  

Application of SGWT in separation of noises from a blast vibration signal

作　　者：谢全民[1,2] 龙源[1] 钟明寿[1] 陆凡东[1] 毛益明[1] 

机构地区：[1]解放军理工大学工程兵工程学院 [2]中国人民解放军63988部队

出　　处：《振动与冲击》2012年第1期24-28,43,共6页Journal of Vibration and Shock

基　　金：国家自然科学基金项目(10772198)

摘　　要：为提高测试信号分析效率和质量,引入二代小波变换并用于爆破振动信号信噪分离。采用提升db小波以及根据提升算法构造的插值细分小波,进行爆破振动信号的分解-阈值去噪-重构,取得了满意的效果。通过比较4个不同提升小波的去噪质量和效率,提出了适用于爆破振动信号分析的提升小波选取办法,为将SGWT引入到爆破振动信号分析研究领域,实现爆破振动特征的快速提取提供了参考。To improve analysis efficiency and quality of a test signal, the second generation wavelet transformation （SGWT） was introduced to separate noises from a blast induced vibration signal. By lifting db wavelets and inter-polating subdivision wavelets based on a lifting scheme, the wavelet decomposition-threshold denoising-reconstruction of blast induced vibration signals were performed and satisfactory results were achieved. Through the comparison of denoising quality and efficiency of four different lifted wavelets, the method selecting the best one suitable for analyzing blast induced vibration signals was proposed. The method provided a reference for introducting SGWT into analysis of blast induced vibration signals and realizing rapid extraction of blast induced vibration characteristics.

关 键 词：爆破振动 信噪分离 二代小波变换 提升算法 插值细分 

分 类 号：TD235.1[矿业工程—矿井建设] O384[理学—流体力学]