摘要
为实现煤与瓦斯突出的准确预测,减少突出预测的工作量,依据灰色关联理论,对试验矿煤与瓦斯突出预测的3个指标S、Δh2和K1进行灰色关联分析,确定各指标对煤与瓦斯突出的灰色关联度和敏感性。结果表明突出预测指标K1对该矿煤与瓦斯突出的灰色关联度最大,敏感性最高,可作为该矿突出预测的最优指标。
In order to make coal and gas outburst prediction accurately through the least workloads,based on grey relational theory,confirming the grey relational and sensitive indexes of the three coal and gas outburst prediction indexes S,Δh2 and K1 by grey relational analysis of the testing mine.The final result shows that the prediction indexes K1 has the biggest grey relational and sensitive degrees and indicates that K1 is the best prediction index of coal and gas outburst on the testing mine.
出处
《煤炭技术》
CAS
北大核心
2014年第4期51-54,共4页
Coal Technology
关键词
灰色关联度
煤与瓦斯突出
预测指标
敏感性优选
grey relational degree
coal and gas outburst
prediction index
optimization of sensibility
