灰色关联分析在煤与瓦斯突出预测中的应用  

Application of Gray Association in Coal and Gas Outburst Prediction

作　　者：王延林[1] 杨胜强[1] 欧晓英[2] 

机构地区：[1]中国矿业大学能源与安全工程学院,江苏徐州221008 [2]大连理工大学土木水利学院,辽宁大连116024

出　　处：《煤炭技术》2009年第3期67-70,共4页Coal Technology

基　　金：云南省科技厅攻关项目(2005IT02);国家自然科学基金资助项目(50274066);国家973计划资助项目(2005CB221503)

摘　　要：通过大量的统计分析,运用灰色关联分析各个煤与瓦斯突出因素在突出过程中所起作用的重要性,按照关联度大小的顺序排序,寻求出与突出关系最为密切的主控因素,确定出最可能的灵敏指标,以提高突出预测的准确性。Through a lot of statistical analysis, using gray correlation analysis to analyze the importance of Influence factors of coal and gas outburst in a prominent role in the process of coal and gas outburst. In accordance with the order of gray relevance, it is found out the closest relations with the outstanding master factors to identify the most likely sensitive indicators to improve the accuracy of coal and gas outburst forecast prominently.

关 键 词：煤与瓦斯突出 影响因素 灰色关联度 突出预测 

分 类 号：TD713[矿业工程—矿井通风与安全]