摘要
以阳泉矿区某矿71404工作面的突出事件为例,利用疏系数自回归预报的动态数据处理方法对该工作面突出的具体时间的时间序列进行了分析处理。实例证明,该方法行之有效,预测精度高,它为研究煤和瓦斯突出并进行有效预测预报探索出了一条新的途径。
Taking the outburst event of No. 71404 working face of Yangquan coal mining area as an example,this paper uses a method of dynamic data processing called regressionself model with sparse coefficients for forecasting to deal with the time series of outburst event's concrete time of this working face. The outcome indicates that this method is efficient, and prediction's precision is very exact, it provides a new method to study and predict outburst of coal and gas efficiently.
出处
《煤田地质与勘探》
CAS
CSCD
北大核心
1992年第2期36-39,共4页
Coal Geology & Exploration
关键词
煤
瓦斯
突出
预测
自回归
outburst
dynamic prediction
regressionself
sparse coefficient