岩石爆破振动信号的EMD滤波与消噪

Filtering and denoising of rock blasting vibration signal with EMD

研究了采用经验模态分解(EMD)法对信号进行滤波、消噪的原理和过程,运用小波滤波和EMD滤波方法对仿真信号进行比较,并将EMD滤波、消噪法引入岩石爆破与冲击破碎信号处理领域中。结果表明:采用小波与EMD 2种滤波、消噪的方法都能获得较好的效果,而基于EMD滤波、消噪法是依据信号分解结果的频谱特性进行选择性的滤波和消噪,更能充分保留信号本身所固有的非平稳特征,具有自适应强和灵活、有效的特点,是一种更好的爆破振动信号滤波、消噪法。

The principle and the course of signal filtering and denoising using empirical mode decomposition （EMD） are described, and simulative signals with wavelet and EMD are compared, and the filtering, denoising method of EMD is introduced to process the signals in rock blasting and other impacting fragmentation field. The results show that both methods of wavelet and EMD are effective, while the method based on EMD, which filters signals and eliminates the noise selectively according to spectrum character of decomposition signal, is the optimal method that can sufficiently keep the non-stationary character inhered in signal and provide well auto-adaptability, flexibility and affectivity and feasibility in filtering and denoising of rock blasting and impact fragmentation signals.