Machine Learning Based Identification of Microseismic Signals Using Characteristic Parameters
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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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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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
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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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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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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
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Recognition of Microseismic and Blasting Signals in Mines Based on Convolutional Neural Network and Stockwell Transform [PDF]
, 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 ...
Cheng, J., Grattan, K. T. V., Song, G.
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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
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The robustness of seismic moment and magnitudes estimated using spectral analysis [PDF]
, 2014 calculate seismic moment. This is an important topic for operators and regulators who require good magnitude estimates when monitoring induced seismicity.
Abercrombie +36 more
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Detection of nanoseismic events related to slope instabilities in the quarry district of Coreno Ausonio (Italy) [PDF]
, 2016 Le cave per l’estrazione di materiale roccioso rappresentano contesti in cui possono aver luogo eventi di instabilità gravitativa causati dalle continue sollecitazioni cui sono soggette le pareti produttive, principalmente connesse alle vibrazioni dovute
FIORUCCI, MATTEO +3 more
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