Experimental study on the ratio model of similar materials in the simulation test of coal and gas outburst. [PDF]
Sun P +6 more
europepmc +1 more source
Forecasting Method of Coal and Gas Outburst Based on KPCA-SVM
The paper proposed a forecasting method of coal and gas outburst based on KPCA-SVM. The method firstly used KPCA to select features of correlative indexes influencing coal and gas outburst, then used SVM to make classified forecasting coal and gas ...
LI Da-feng, ZHAO Shuai, YANG Dai-ping
doaj
Coal-rock damage characteristics caused by blasting within a reverse fault and its resultant effects on coal and gas outburst. [PDF]
Gao K +5 more
europepmc +1 more source
A Study on the Outburst of Gas and Coal
Masuyuki UJIHIRA, Kiyoshi HASHIMOTO
openaire +2 more sources
Review of coal and gas outburst in Australian underground coal mines
Outburst of coal and gas represents a significant risk to the health and safety of mine personnel working in development and longwall production face areas. There have been over 878 outburst events recorded in twenty-two Australian underground coal mines.
openaire +3 more sources
Study on characteristics of coal and gas outburst in Panjiang Mining Area based on Apriori algorithm
In order to reveal the occurrence law of coal and gas outburst disaster in Panjiang Mining area and improve the targeted work of gas prevention and control, the gas geological parameters of 37 coal and gas outburst accident points in Panjiang Mining Area
Kan ZHOU +3 more
doaj +1 more source
Alarm methods of coal and gas outburst
Colliery gas accidents in recent 10 years were analyzed, and numbers of accidents and deaths accounted for 62.3% and 66.5% respectively. The placement methods of coal and gas outburst alarm sensors of methane, wind speed, wind direction were put forward.
openaire +1 more source
Study on the influence of periodic roof fracturing on the mechanical disturbance characteristics of coal and gas outburst behavior in the mining face. [PDF]
Zhang C, Chen Z, Wu X, Ma J, Chen J.
europepmc +1 more source
Study on coal and gas outburst prediction technology based on multi-model fusion. [PDF]
Xie Q, Yan J, Dai Z, Du W, Wu X.
europepmc +1 more source
Study on statistical analysis and prevention of coal and gas outburst accidents in Guizhou Province. [PDF]
Sun G +6 more
europepmc +1 more source

