Results 1 to 10 of about 24,569,148 (220)
Data-Driven Signal–Noise Classification for Microseismic Data Using Machine Learning
Energies, 2021 It is necessary to monitor, acquire, preprocess, and classify microseismic data to understand active faults or other causes of earthquakes, thereby facilitating the preparation of early-warning earthquake systems.
Sungil Kim +3 more
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Adaptive noise suppression for low-S/N microseismic data based on ambient-noise-assisted multivariate empirical mode decomposition [PDF]
Frontiers in Physics, 2023 Microseismic monitoring data may be seriously contaminated by complex and nonstationary interference noises produced by mechanical vibration, which significantly impact the data quality and subsequent data-processing procedure.
Zhichao Yu +5 more
doaj +2 more sources
IEEE Access, 2021 Rockburst is a common geological disaster in mines, tunnels, deep underground engineering, and during excavation, mining, and construction. Rockburst frequently occurs as the depth of burial increases, and its early warning technology is in urgent need ...
Guili Peng +3 more
doaj +1 more source
Parallel Processing Method for Microseismic Signal Based on Deep Neural Network
Remote Sensing, 2023 The microseismic signals released by rock mass fracture can be captured via microseismic monitoring to evaluate the development of geological disasters.
Chunchi Ma +7 more
doaj +1 more source
Automatic picking method of microseismic first arrival time based on improved support vector machine
Gong-kuang zidonghua, 2023 The microseismic first arrival time picking is an important prerequisite for the high-precision positioning of the microseismic source. The traditional manual picking method is inefficient.
LI Tieniu +9 more
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Investigation of Microseismic Characteristics of Rock Burst Based on Fractal Theory
Applied Sciences, 2023 Microseismic monitoring is a common monitoring tool in the mining production process; for supervising a huge amount of microseismic data, effective analysis tools are necessary.
Ping Wang, Ze Zhao, Da Zhang, Zeng Chen
doaj +1 more source
Remote Sensing, 2023 Numerous microseismic signals are produced by rock mass fracture during earthquakes, geological disasters, or underground excavations. Moreover, a large amount of noise signals are captured during microseismic signal monitoring.
Chunchi Ma +8 more
doaj +1 more source
Prediction of microseismic events in rock burst mines based on MEA-BP neural network
Scientific Reports, 2023 Microseismic monitoring is an important tool for predicting and preventing rock burst incidents in mines, as it provides precursor information on rock burst.
Tianwei Lan +3 more
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Research on microseismic event imaging based on waveform clustering analysis
矿业科学学报, 2022 The quality of microseismic data greatly affects the accuracy of the source location results, especially in surface microseismic data where the first arrivals of P waves and S waves are not obvious or the low signal-to-noise ratio signals are difficult ...
Li Dewei, Yang Ruizhao, Meng Lingbin
doaj +1 more source
Research on automatic picking of microseismic first arrival
Gong-kuang zidonghua, 2020 Accurate picking of the first arrival of microseisms is the prerequisite for the estimation of source location. The traditional manual picking method is inefficient and time-consuming.
GAO Yu +8 more
doaj +1 more source