摘要
针对爆破振动信号去噪的问题,提出基于EEMD(ensemble empirical mode decomposition,集成经验模态分解)和小波变换结合的去噪方法。首先,采用EEMD将爆破振动信号分解成若干个IMF分量,然后利用自相关函数选择主要包含噪声的分量,再利用基于无偏估计的小波阈值去噪方法分别对含噪声分量进行去噪,最后,将去噪得到的分量之和与剩余分量相加,得到最终的消噪信号。该方法兼具了小波去噪以及EEMD去噪的优点,使得去噪后的信号信噪比更高,有用信息保留更完备,为爆破振动信号的去噪提供了一条新的途径。
Aiming at the problem of blasting vibration signal de-noising, a method of de-noising based on EEMD （ensemble empirical mode decomposition） and wavelet transform was introduced. Firstly, the blast vibration signal was decomposed to some ][MF components by EEMD, then components mainly composed of noise were de-noised through wavelet threshold de-noising method based on unbiased estimation. Finally,the de-noised signal was gained by adding the de-noising components and the residual components. This method combines the advantages of wavelet de-noising with EEMD de-noising,which acquired higher signal-to-noise ratio and kept more complete useful infor- mation ,and provided a new approach for blasting vibration signal de-noising.
出处
《爆破》
CSCD
北大核心
2015年第4期33-38,共6页
Blasting
基金
国家自然科学基金面上项目(51374244)
关键词
EEMD
小波
爆破振动
信号去噪
EEMD
wavelet
blasting vibration
signal de-nosing
