Automatic P-Phase-Onset-Time-Picking Method of Microseismic Monitoring Signal of Underground Mine Based on Noise Reduction and Multiple Detection Indexes [PDF]
Entropy, 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
Rui Dai, Yibo Wang, Da Zhang, Hu Ji
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A dual branch model for predicting microseismic magnitude time series named DTFNet [PDF]
Scientific ReportsMicroseismic monitoring is crucial in realizing intelligent early warning of coal mine rockbursts. Utilizing historical microseismic monitoring data to predict future microseismic events effectively enhances the accuracy of impact disaster prediction and
Hao Luo +5 more
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Distribution characteristics and the evolution law of excavation damage zone in the large-span transition section of high-speed railway tunnel based on microseismic monitoring [PDF]
Railway Sciences, 2022 Purpose – The microseismic monitoring technique has great advantages on identifying the location, extent and the mechanism of damage process occurring in rock mass.
Ao Li +4 more
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A Study on Classification Method of Mine Vibration Based on Microseismic Monitoring Cloud Service Platform [PDF]
E3S Web of Conferences, 2023 With the gradual deepening of mining depth, sudden ground pressure disasters such as rock burst and collapse caused by deep high stress and high rock pressure are major hidden dangers affecting mine safety production.
JI Hu, DAI Rui
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Decision Tree Model for Rockburst Prediction Based on Microseismic Monitoring
Advances in Civil Engineering, 2021 Rockburst is an extremely complex dynamic instability phenomenon for rock underground excavation. It is difficult to predict and evaluate the rank level of rockburst in practice.
Hongbo Zhao, Bingrui Chen, Changxing Zhu
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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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Machine learning in microseismic monitoring [PDF]
Earth-Science Reviews, 2023 The confluence of our ability to handle big data, significant increases in instrumentation density and quality, and rapid advances in machine learning (ML) algorithms have placed Earth Sciences at the threshold of dramatic progress. ML techniques have been attracting increased attention within the seismic community, and, in particular, in microseismic ...
Anikiev, Denis +6 more
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Applied Sciences, 2023 Based on the relationship between rockburst and microseismic event indicators, this study proposes that the risk of rockburst in mine working faces, roadways, and even the entire mine should be studied through the “double high” risk evaluation of ...
Xuelong Li +4 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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Energies, 2023 Microseismic monitoring has become a well-known technique for predicting the mechanisms of rock failure in deeply buried energy exploration, in which noise has a great influence on microseismic monitoring results.
Shibin Tang +4 more
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