水利水电技术2017，Vol.48Issue(6)：37-42,6.DOI:10.13928/j.cnki.wrahe.2017.06.008
基于CEEMD和相关性函数特性的爆破震动信号滤波方法研究
Research of filtering method for blasting vibration signals based on CEEMD and correlation function property
摘要
Abstract
The principle and process of the signal filtering with the approach of complementary ensemble empirical mode decomposition (CEEMD) are studied herein,and then the blasting vibration signal is decomposed with the CEEMD algorithm,from which a set of IMF components is obtained and the correlation function properties of all the IMF components are analyzed as well.The high frequency noise has the maximum value at the zero time and the other time values are about 0,while the low frequency noise has the autocorrelation property of the periodic function which is inherent in rock blasting vibration signal.Removing the noise component can make the de-noised signal more truly embody the characteristics of rock blasting vibration.By taking the measured blasting vibration signal from the construction of the diversion tunnel of a hydropower station on the Upper Yellow River as the study case,the CEEMD algorithm-based de-noising effect and the effects from the de-noising based on EEMD and EMD algorithms are comparatively analyzed herein.The result shows that the signal-noise ratios (SNR) after filtering with decomposition methods of EMD,EEMD,CEEMD and correlation function property are 39.48,40.63 and 49.07 respectively,while the signalnoise ratio (SNR) from filtering with CEEMD algorithm is increased by 24.31％ and 20.78％,if compared with those from EMD and EEMD algorithms,thus the practicability and superiority of the filtering method based on CEEMD and correlation function property are proved.关键词
CEEMD/自相关函数/互相关函数/爆破震动/滤波/消噪Key words
CEEMD/autocorrelation function/cross-correlation function/blasting vibration/filtering/de-noising分类
建筑与水利引用本文复制引用
张亮,孙新建,占其兵..基于CEEMD和相关性函数特性的爆破震动信号滤波方法研究[J].水利水电技术,2017,48(6):37-42,6.基金项目
国家重点基础研究发展计划(973)项目(2015CB057904) （973）
