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
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
Effect of Coal Particle Breakage on Gas Desorption Rate during Coal and Gas Outburst
The gas contained in coal plays a crucial role in triggering coal and gas outbursts. During an outburst, a large quantity of gas originally absorbed by coal is released from pulverized coal. The role this part of the gas plays in the process of coal and gas outbursts has not been clearly elucidated yet.
Qiang Cheng +4 more
openaire +2 more sources
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
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
Study on influence of gas content of coal and gas outburst
In order to study the influence of gas content on the strength of coal and gas outburst, a set of device for simulating coal and gas outburst is improved by adding flowmeter and gas pressure sensors. The simulation experiments of coal and gas outburst were carried out with gas content of 7.5m3/t, 8.0m3/t, 8.5m3/t and 9.0m3/t respectively.
openaire +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
Research on coal and gas outburst risk prediction based on improved search algorithm optimized deep learning network. [PDF]
Wang N.
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

