Frontiers in Earth Science, 2022 Microseismic events can be used to analyze the risk of tunnel collapse, rock burst, and other mine hazards in space and time. In practice, the artificial activities and other signals at the mining site can seriously interfere with the microseismic ...
Da Zhang +20 more
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Reliable Denoising Strategy to Enhance the Accuracy of Arrival Time Picking of Noisy Microseismic Recordings [PDF]
Sensors, 2023 We propose a method to enhance the accuracy of arrival time picking of noisy microseismic recordings. A series of intrinsic mode functions (IMFs) of the microseismic signal are initially decomposed by employing the ensemble empirical mode decomposition ...
Xiaohui Zhang +2 more
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Microseismic Signal Classification Based on Artificial Neural Networks
Shock and Vibration, 2021 The classification of multichannel microseismic waveform is essential for real‐time monitoring and hazard prediction. The accuracy and efficiency could not be guaranteed by manual identification. Thus, based on 37310 waveform data of Junde Coal Mine, eight features of statistics, spectrum, and waveform were extracted to generate a complete data set. An
Chong-wei Xin +2 more
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Microseismic Signal Denoising and Separation Based on Fully Convolutional Encoder–Decoder Network
Applied Sciences, 2020 Denoising methods are a highly desired component of signal processing, and they can separate the signal of interest from noise to improve the subsequent signal analyses.
Hang Zhang +4 more
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Automatic P-Phase-Onset-Time-Picking Method of Microseismic Monitoring Signal of Underground Mine Based on Noise Reduction and Multiple Detection Indexes. [PDF]
Entropy (Basel), 2023 The underground pressure disaster caused by the exploitation of deep mineral resources has become a major hidden danger restricting the safe production of mines. Microseismic monitoring technology is a universally recognized means of underground pressure
Dai R, Wang Y, Zhang D, Ji H.
europepmc +2 more sources
Research on computational propagation and identification of mine microseismic signals based on deep learning. [PDF]
PLoS ONEIn the mining field, hydraulic fracturing of coal - seam boreholes generates a large number of weak microseismic signals. The accurate identification of these signals is crucial for subsequent positioning and inversion.
Dongmei Liu +7 more
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.Design of acquisition system of multi-channel microseismic signal
Gong-kuang zidonghua, 2018 In view of problems of high cost and low universality existed in current acquisition systems of mine microseismic signal, an acquisition system of multi-channel microseismic signal was designed.
CAI Jianxian +4 more
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Swin Transformer Based Recognition for Hydraulic Fracturing Microseismic Signals from Coal Seam Roof with Ultra Large Mining Height [PDF]
SensorsAccurate differentiation between microseismic signals induced by hydraulic fracturing and those from roof fracturing is vital for optimizing fracturing efficiency, assessing roof stability, and mitigating mining-induced hazards in coal mining operations.
Peng Wang +3 more
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IEEE Access, 2019 Aiming at the situation that complementary ensemble empirical mode decomposition (CEEMD) noise suppression method may produce redundant noise and wavelet transform easily loses high-frequency detail information, considering wavelet packet transform can ...
Ling-Qun Zuo +4 more
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IEEE AccessDuring the downhole microseismic monitoring for hydraulic fracturing, microseismic signals are constantly vulnerable to interference from different kinds of noise.
Wenxuan Ge +4 more
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