【摘要】 对微地震P波到时的自动拾取是微地震信号分析和数据处理的主要目标之一。基于小波变换的多尺度分析思想,对微地震信号进行小波处理后的小波系数代替原始信号,应用包含在小波变换系数中的信号偏振信息,提出了联合小波变换与偏振分析自动拾取微地震信号P波到时的方法。通过对嘉阳煤矿监测的实际微地震数据进行小波变换,用多尺度小波分解的各个尺度单支重构信号构成协方差矩阵,求解不同尺度协方差矩阵的最大特征值和次大特征值求取P波到时定位函数,实现P波到时的自动拾取,取得了满意的结果.更多还原

【Abstract】 Carry out the whole space,real-time and continuous micro earthquake monitoring in mining process,automatically pick up the P wave to determine the rock breaking point,division rock burst zone of the focal point scale of mining process has the extremely vital significance.Therefore,automatically identify micro seismic P-arrval is one of the main goal of the micro seismic signal analysis and data processing.Based on the thought of multiscale wavelet analysis,the author use the wavelet coefficientes by wavelet processing instead of the original signal,applicate the wavelet coefficients included in signal polarization information,propose a method of united wavelet transform and polarization automatically analysis to pick three componets micro seismic P-arrivales.The actual micro seismic monitoring datas in JiaYang mine are handled,use multi-scale wavelet decomposition the original signal and reconstruct varioues of single scale signal to constitute the covariance matrix,the maximum eigenvalue and second eigenvalue in corresponding different scales covariance matrixes are solved to determine the positioning function of p-arrival.Finally,the method pick up the p-arrivales successfully and automatically and obtain satisfied results.更多还原