1. College of Computer Science and Engineering,Shandong University of Science and Technology,Qingdao　 266590,China; 2. Shandong Province Key Labo-ratory of Wisdom Mine Information Technology,Shandong University of Science and Technology,Qingdao　 266590,China

为了从含噪微震监测数据中提取有效的微震信号,提出了一种基于变分模态分解(Variational Mode Decomposition,VMD)和能量熵的自适应微震信号降噪方法。采用变分模态分解法对含噪微震信号进行自适应分解,得到一系列按频率从高到低的变分模态分量;计算每个变分模态分量的能量熵,搜索并辨识出噪声与信号的分界;剔除高频噪声,将剩余分量进行重构,得到降噪后的微震信号。通过与基于经验模态分解(Empirical Mode Decomposition,EMD)的微震信号降噪方法对比,从信噪比、降噪后信号占原信号的能量百分比和原信号与降噪后信号的均方根误差3个评价指标上定量说明该方法在微震信号降噪中表现出更好的降噪效果。

In order to extract the effective micro-seismic signal from the polluted noisy signals,a new micro-seismic sig- nal denoising method is proposed based on variational mode decomposition ( VMD) and energy entropy. Firstly,the noisy signal is decomposed by variational mode decomposition to obtain a series of variational mode components ranked by frequency in descending order;secondly,the energy entropy of each variational mode component is calculated,and the boundary between noise and signal is identified;finally,the high frequency noises above the boundary are filtered, and the others variational mode components are accumulated and reconstructed,and the authors obtain the denoised micro-seismic signal. Comparison with empirical mode decomposition (EMD) denoising method from three evaluation indexes SNR,ESN and RMSE,the experimental results show that the proposed method can remove noise to a greater extent and provide reference for noise reduction of micro-seismic signals.

ZHANG Xingli,LU Xinming,JIA Ruisheng,et al. Micro-seismic signal denoising method based on variational mode decomposition and en- ergy entropy[J]. Journal of China Coal Society,2018,43(2):356-363.