Mine-Microseismic-Signal Recognition Based on LMD–PNN Method
Applied Sciences, 2022 The effective recognition of microseismic signal is related to the accuracy of mine-dynamic-disaster precursor-information processing, which is a difficult method of microseismic-data processing.
Qiang Li, Yingchun Li, Qingyuan He
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Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters [PDF]
Sensors, 2021 Microseismic monitoring system is one of the effective means to monitor ground stress in deep mines. The accuracy and speed of microseismic signal identification directly affect the stability analysis in rock engineering.
Kang Peng +3 more
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Recognition of Microseismic and Blasting Signals in Mines Based on Convolutional Neural Network and Stockwell Transform [PDF]
IEEE Access, 2020 The microseismic monitoring signals which need to be determined in mines include those caused by both rock bursts and by blasting. The blasting signals must be separated from the microseismic signals in order to extract the information needed for the ...
Guangdong Song +2 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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Automatic Identification System for Rock Microseismic Signals Based on Signal Eigenvalues
Applied Sciences, 2023 The microseismic signals of rock fractures indicate that the rock mass in a particular area is changing slowly, and the microseismic signals of rock blasting indicate that the rock mass in a particular area is changing violently.
Junzhi Chen +3 more
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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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Mine Microseismic Signal Denoising Based on a Deep Convolutional Autoencoder
Shock and Vibration, 2023 Mine microseismic signal denoising is a basic and crucial link in microseismic data processing, which influences the accuracy and reliability of the monitoring system, and is of great significance with regard to safety during mining.
Ting Hu +5 more
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Automatic detection of arrival time for noisy microseismic data using a transformed difference between multiwindow energy ratios method [PDF]
Scientific ReportsDetection of arrival times of microseismic events is one of the most fundamental steps in the application of microseismic monitoring. However, accurately determining arrival time remains challenging due to low signal-to-noise ratio and the complexity of ...
Zhiyong Zhang +7 more
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