基于灰色关联分析的突出预测指标敏感性研究  

Research on the sensitivity of outburst predictors based on grey relational analysis

作　　者：刘永杰[1] 李忠辉[1] 苏飞[1] 李永冲[1] 

机构地区：[1]中国矿业大学安全工程学院,江苏徐州221008

出　　处：《中国矿业》2012年第9期115-117,121,共4页China Mining Magazine

基　　金："十二五"科技支撑计划资助(编号:2012BAK04B07;2012BAK09B01);教育部新世纪优秀人才支持计划资助(编号:NCET-10-0768)

摘　　要：煤与瓦斯突出的影响因素众多,选取合适的突出预测敏感指标是突出危险准确预测的关键。本文利用灰色理论对煤与瓦斯突出预测指标的敏感性进行了分析,并运用灰色关联优选了九里山矿煤与瓦斯突出预测的敏感性指标。研究结果对煤与瓦斯突出预测具有重要的实际意义。The impact of coal and gas outburst are many factors, the key to accurately predict coal and gas outburst is select the appropriate sensitive indicator of outburst prediction . In this paper, use the grey theory to conduct the sensitivity analysis of coal and gas outburst forecast indicators, and with grey relevancy quantitative analysis the sensitive indicator of the Jiulishan coal and gas outburst prediction . The findings have important practical significance of coal and gas outburst prediction.

关 键 词：灰色理论 煤与瓦斯突出 敏感指标 电磁辐射 灰色关联度 

分 类 号：TD713[矿业工程—矿井通风与安全]