Multi-Resolution Feature Fusion model for coal rock burst hazard recognition based on Acoustic Emission data-Reference-Cited by-同舟云学术

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Multi-Resolution Feature Fusion model for coal rock burst hazard recognition based on Acoustic Emission data

Published:2017-03 Issue: Volume:100 Page:329-336
ISSN:0263-2241
Container-title:Measurement
language:en
Short-container-title:Measurement

Author:

Li Jing,Yue Jianhua,Yang Yong,Zhan Xinzhong,Zhao Li

Funder

“Twelfth Five Year” National Science and technology support program

National Nature Science Foundation of China

Nature Science Foundation of Xingjian Uighur Autonomous Region

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation

Reference19 articles.

1. Acoustic emission and thermal infrared precursors associated with bump-prone coal failure;Zhao;Int. J. Coal Geol.,2010

2. Estimation of cracking and damage mechanisms of rock specimens with precut holes by moment tensor analysis of acoustic emission;Liu;Int. J. Fract.,2014

3. Experimental investigation on the failure and acoustic emission characteristics of shale, sandstone and coal under gas fracturing;Hou;J. Nat. Gas Sci. Eng.,2016

4. Fractal analysis of acoustic emission during uniaxial and triaxial loading of rock;Zhang;Int. J. Rock Mech. Min. Sci.,2015

5. Fractal characteristics and its application in electromagnetic radiation signals during fracturing of coal or rock;Wang;Int. J. Min. Sci. Technol.,2012

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2. Identification and prediction method for acoustic emission and electromagnetic radiation signals of rock burst based on deep learning;Physics of Fluids;2024-07-01

3. An analytical methodology of rock burst with fully mechanized top-coal caving mining in steeply inclined thick coal seam;Scientific Reports;2024-01-05

4. A New Volumetric Strain-Based Method for Determining the Crack Initiation Threshold of Rocks Under Compression;Rock Mechanics and Rock Engineering;2023-11-08

5. Experimental study on failure precursors of coal and sandstone based on two‐step clustering of acoustic emission characteristics;Energy Science & Engineering;2023-10-23

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