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Li Xin, Yang Yu, Wu Zhantao, Yan Ke, Shao Haidong, Cheng Junsheng. High-accuracy gearbox health state recognition based on graph sparse random vector functional link network[J]. Reliability Engineering & System Safety, 2021: 108187. (IF= 7.247,Top期刊)
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Journal:<SAFETY IN COAL MINES>

Key Words:Coal and Gas Outburst, Outburst Prediction, Sensitive Index, Outburst Simulation, Relative Sensitivity.

Abstract:Aiming at the shortcomings of the "three-rate method" in determining the sensitive indicators for coal roadway outburst prediction and the threat of outburst to personnel during detection, in this paper, a laboratory method for determining the sensitive index and critical value of coal roadway outburst prediction is presented. According to the principle that the apparent density and moisture of simulated soft stratification are consistent with the original coal seam in the field, the forming pressure and pressing steps of simulated soft stratification were determined. Then filling the simulated soft layer with low pressure and high pressure gas, Drilling and measuring various coal roadway outburst prediction indexes respectively, the relative sensitivity of each predictor is known and one of the highest predictors of sensitivity can be obtained. Again by outburst simulation or measuring the initial release gas expansion energy, the critical value of the index can be determined. Through the application to the coal mine site, it is proved that the prediction index and critical value obtained by this method are effective, and can be directly used in the field coal roadway prediction.

Indexed by:Journal paper

Document Code:1003-496X(2021)10-0024-06

Volume:52

Issue:10

Page Number:24-28

ISSN No.:1003-496X

Translation or Not:no

Date of Publication:2021-10-01

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Supervisor of Doctorate Candidates

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School/Department:安全学院

Administrative Position:教授

Business Address:江苏省徐州市中国矿业大学文昌校区

Gender:Male

Contact Information:18086736872

Degree:Doctor

Academic Titles:突出预测与安全装备研究所

Alma Mater:中国矿业大学

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Honors and Titles:

中国煤炭工业科学技术奖二等奖  2009-11-06

第一届全国安全生产科技成果奖理论一等奖  2003-02-01

中国高校科技进步二等奖  2000-10-18

中国煤炭工业科技进步一等奖  2001-02-01

中国煤炭工业科技进步二等奖  1999-05-01

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