Rock burst early-warning for thick coal seam in deep mining based on Logistic regressio

Rock burst early-warning for thick coal seam in deep mining based on Logistic regressio

For difficult rock burst monitoring and early-warning for thick coal seam in deep mining, a rock burst early-warning model based on Logistic regression was established by use of conventional indexes (support resistance, borehole stress and gas concentration) as well as the one by use of comprehensiv...

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Bibliographic Details
Main Authors: WU Jianbo, WANG Enyuan, REN Xuekun, WANG Xiaoran
Format: Article
Language:zho
Published: Editorial Department of Industry and Mine Automation 2017-06-01
Series:Gong-kuang zidonghua
Subjects:
coal mining
thick coal seam in deep mining
rock burst
monitoring and early-warning
logistic regressio
Online Access:http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.06.010

Internet

http://www.gkzdh.cn/article/doi/10.13272/j.issn.1671-251x.2017.06.010

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