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A random forest approach for predicting coal spontaneous combustion
Fuel ( IF 7.4 ) Pub Date : 2018-07-01 , DOI: 10.1016/j.fuel.2018.03.005
Changkui Lei , Jun Deng , Kai Cao , Li Ma , Yang Xiao , Lifeng Ren

Abstract The accurate prediction of coal temperature plays a vital role in preventing and controlling the spontaneous combustion of coal in coal mines. In this study, a large-scale 2-ton experimental furnace was constructed to implement an oxidation experiment by using a Dafosi coal sample. The aim was to simulate the spontaneous combustion of coal at low temperatures (

中文翻译:

一种预测煤自燃的随机森林方法

摘要 煤温的准确预测对于防治煤矿煤自燃具有重要意义。本研究搭建了大型2吨实验炉,利用大佛寺煤样进行氧化实验。目的是模拟煤在低温下的自燃(
更新日期:2018-07-01
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