最优小波包基算法在爆破振动信号去噪中的应用  

Application of Best Wavelet Packet Basis Algorithm in De-noising of Blasting Vibration Signal

作　　者：夏晨曦[1] 杨军[1] 李顺波[1] 陈大勇[1] 

机构地区：[1]北京理工大学爆炸科学与技术国家重点实验室,北京100081

出　　处：《爆破》2011年第3期4-7,共4页Blasting

基　　金：国家自然科学基金项目(51074028)

摘　　要：为比较基于Shannon熵准则的最优小波包基信号去噪算法的优越性,采用延期时间分别为22 ms、45 ms和75 ms高精度雷管进行台阶爆破试验,对监测的振动信号分别用基于小波变换去噪算法和基于Shannon熵准则的最优小波包基信号去噪算法进行对比并计算2者方法的峰值信噪比。结果表明:基于Shannon熵准则的最优小波包基信号去噪算法提高了信噪比,能够识别高精度雷管爆破振动信号随药量增加和延期时间不同而产生的速度峰值变化,具有较强的信噪分离能力和良好的去噪性能,达到了很好的去噪效果。For comparing the advantage of de-noising with best wavelet packet basis on Shannon entropy, the blast experiments with delay time of 22 ms ,45 ms and 75 ms were done. The wavelet transformation and the best wa,;elet packet basis on Shannon entropy were used to de-noising the blasting vibration signal,then calculate the peak signal to noise ratio （PSNR） separately. The results show that the de-noising way of best wavelet packet basis on Shannon entropy has a good de-noising performance, and can recognize and determine the changes of peak velocity from the high precision blasting vibration signal as the charge mass added, and achieves a good de-noising result.

关 键 词：最优小波包基 Shannon熵准则 信噪比 

分 类 号：TD235.47[矿业工程—矿井建设]