Prediction of top-coal caving and drawing characteristics by the analytic hierarchy process-fuzzy discrimination method in extra-thick coal seams-Reference-Cited by-同舟云学术

Prediction of top-coal caving and drawing characteristics by the analytic hierarchy process-fuzzy discrimination method in extra-thick coal seams

Published:2017-09-22 Issue:4 Volume:33 Page:2533-2545
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Chi Mingbo¹,Zhang Dongsheng¹,Fan Gangwei¹,Zhang Wei²,Liu Honglin¹³

Affiliation:

1. Key Laboratory of Deep Coal Resource Mining, Ministry of Education of China, School of Mines, China University of Mining & Technology, Xuzhou, China

2. IoT Perception Mine Research Center, China University of Mining & Technology, Xuzhou, China

3. Institute of Geology and Mining Engineering, Xinjiang University, Xinjiang, China

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference27 articles.

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2. Effect of upward angle on the drawing mechanism in longwall top-coal caving mining[J];Yang;International Journal of Rock Mechanics and Mining Sciences,2016

3. Behaviors of overlying strata in extra-thick coal seams using top-coal cng method[J];Yu;Journal of Rock Mechanics and Geotechnical Engineering,2016

4. Deformation, failure and permeability of coal-bearing strata during longwall mining[J];Meng;Engineering Geology,2016

5. Monitoring and modelling of gas dynamics in multi-level longwall top coal caving of ultra-thick coal seams, part I: Borehole measurements and a conceptual model for gas emission zones[J];Si;International Journal of Coal Geology,2015

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