基于CEEMD低通的隧道爆破振动信号去噪

为了消除隧道爆破振动信号中无规则混杂的噪声,引入了一种基于CEEMD(互补集合经验模态分解)的低通去噪方法。首先对模拟正弦信号进行EMD、EEMD、CEEMD分解,验证CEEMD分解方法的优越性,然后使用EMD和CEEMD低通方法分别对新鼓山隧道爆破信号进行去噪处理,结果表明该方法不仅克服了小波类去噪基函数选择困难和EMD模态混叠的问题,还能够使爆破波形保留其真实性和完整性,为爆破信号的精确处理奠定了基础。

Denoising of tunnel blasting vibration signal based on CEEMD low pass

In order to eliminate the random noises in tunnel blasting vibration signals,a low-pass denoising method based on CEEMD (complementary set empirical mode decomposition ) is introduced.Firstly, the EMD, EEMD and CEEMD decomposition of the simulated sinusoidal signal are carried out to verify the superiority of the CEEMD decomposition method. Then,the EMD and CEEMD low-pass methods are used to denoise the blasting signal of the Xin Gushan tunnel respectively. The results show that this method not only overcomes the wavelet denoising function selection and EMD modal aliasing,but also keeps the integrity and the integrity of the bursting waveform,which lays the foundation for the accurate processing of the blasting signal.