标题：Method of automatic detection on micro-seismic P-arrival time under low signal-to-noise ratio
作者：Jia, Rui-Sheng ;Tan, Yun-Liang ;Sun, Hong-Mei ;Hong, Yong-Fa
作者机构：[Jia, Rui-Sheng ;Tan, Yun-Liang ] State Key Laboratory of Mining Disaster Prevention and Control Co-founded by Shandong Province and Ministry of Scien 更多
来源：Meitan Xuebao/Journal of the China Coal Society
摘要：According to the low signal-to-noise ratio, non-stationary, and inherent randomness of micro-seismic signals, a new method based on Hilbert-Huang Transform (HHT) and AIC criterion was proposed. Firstly, to implement de-noising and filtering, the signals with noise were decomposed with empirical mode decomposition (EMD) and then reconstructed with intrinsic mode function (IMF); Secondly, based on the Hilbert transform, the normalized envelope signal was calculated, the coarse position of P-arrival was searched by setting the envelope threshold, and on the basis of the position, the time window of AIC function was determined; Finally, the P-arrival time was calculated by using AIC criterion in the selected time window. This method was applied to 80 random micro-seismic signals with both high SNR and low SNR. Considering the manual picking results as a benchmark and the time difference within 10 ms as an accurate result, the result shows that for the signals with high SNR, the picking accuracy is 100%. For the signals with low SNR, the accuracy is 92%.
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