独立分量分析在爆破振动信号分离中的应用初探  

Primary investigation on the application of ICA to blasting vibration signal separation

作　　者：赵明生[1] 张建华[1] 易长平[1] 

机构地区：[1]武汉理工大学资源与环境工程学院,湖北武汉430070

出　　处：《爆炸与冲击》2011年第2期191-195,共5页Explosion and Shock Waves

基　　金：中央高校基本科研业务专项项目(2010-Ia-060)

摘　　要：综合运用小波分析和独立分量分析对实测的2孔微差爆破振动试验信号进行分离研究。采用小波分析分解滤去爆破振动信号能量比低的高频部分,提取主要特征所在的频段的重构信号,然后运用独立分量分析(independent component analysis,ICA)对其重构信号进行分离,初步成功获得了体现现场实际情况的分段震波,确定了分段震波的实际微差间隔时间。Wavelet analysis and independent component analysis(ICA) were integrally applied to investigate the separation of the measured short-delay blasting vibration signals in two drilling holes.Wavelet analysis was used to filter out the high-frequency signal with a lower energy ratio in the blasting vibration signals and to extract the reconstructed signals in the frequency rang with the main features.The reconstructed signals were separated using ICA.The segmental seismic waves were successfully obtained,which could reflect the practical situation.And the actual short-delay interval time of the segmental seismic waves was determined.It is indicated that ICA is helpful for blasting vibration signal processing.

关 键 词：爆炸力学 独立分量分析 小波分析 振动信号 微差爆破 

分 类 号：O36[理学—流体力学]