Results 11 to 20 of about 615 (171)

Swin Transformer Based Recognition for Hydraulic Fracturing Microseismic Signals from Coal Seam Roof with Ultra Large Mining Height [PDF]

open access: yesSensors
Accurate 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
doaj   +2 more sources

Signal Enhancement for Downhole Microseismic Data Using Improved Attention Mechanism Based on Autoencoder Network

open access: yesIEEE Access
During the downhole microseismic monitoring for hydraulic fracturing, microseismic signals are constantly vulnerable to interference from different kinds of noise.
Wenxuan Ge   +4 more
doaj   +3 more sources

Identification of Microseismic Signals Based on Multiscale Singular Spectrum Entropy

open access: yesShock and Vibration, 2020
The accurate identification of effective microseismic events has great significance in the monitoring, early warning, and forecasting of rockburst hazards.
Xingli Zhang   +3 more
doaj   +2 more sources

An Improved Microseismic Signal Denoising Method of Rock Failure for Deeply Buried Energy Exploration

open access: yesEnergies, 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
doaj   +1 more source

Experimental Investigations on Charge Induction and Microseismic Characteristics of the Coal and Rock under Different Loading Rates

open access: yesShock and Vibration, 2021
The research on charge induction and microseismic characteristics of coal and rock under different loading rates is of great significance for rockburst prediction. In this study, the coal and sandstone samples from the No.
Yuchun Liu   +4 more
doaj   +1 more source

Multi-Classification of Complex Microseismic Waveforms Using Convolutional Neural Network: A Case Study in Tunnel Engineering

open access: yesSensors, 2021
Due to the complexity of the various waveforms of microseismic data, there are high requirements on the automatic multi-classification of such data; an accurate classification is conducive for further signal processing and stability analysis of ...
Hang Zhang   +5 more
doaj   +1 more source

Analysis of rock microseismic signal based on blind source wavelet decomposition algorithm

open access: yesAIP Advances, 2022
At present, microseismic technology is a widely used method for monitoring the rock burst phenomenon during the construction of deep-buried tunnels. The rock fracture in the tunnel will generate seismic waves.
Guili Peng   +4 more
doaj   +1 more source

Research on microseismic event imaging based on waveform clustering analysis

open access: yes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

Fine Classification Method for Massive Microseismic Signals Based on Short-Time Fourier Transform and Deep Learning

open access: yesRemote 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

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