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Prediction Model for Spontaneous Combustion of Coal around Boreholes Using Bedding Gas Drainage
Shock and Vibration, 2021 To accurately and reliably predict the time of spontaneous combustion of fractured coal around a borehole induced by gas drainage along the seam, this study performed an orthogonal test taking the No.
Youxin Zhao, Qingjie Qi, Xinlei Jia
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Effect of Physical and Chemical Structure of Shengli Lignite on Its Spontaneous Combustion Tendency
Taiyuan Ligong Daxue xuebao, 2021 A series of oxidized coal samples were prepared by oxidation of Shengli lignite in air at 140 ℃ and 160 ℃ for different time. The functional groups and pore structure parameters of coal samples were analyzed and tested by Fourier transform infrared ...
Lin GAO +4 more
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PLoS ONE, 2021 Due to the problems related to the numerous factors affecting the spontaneous combustion of goaf coal, such as sudden, uncertain, and dynamic changes, and the fact that the weight of the indexes in the prediction model of the spontaneous combustion risk ...
Wei Wang, Yun Qi, Baoshan Jia, Youli Yao
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Gong-kuang zidonghua, 2019 In view of goaf spontaneous combustion prevention of 12401 fully mechanized working face with large mining height in Shangwan Coal Mine, CO is determined as prediction index gas of coal spontaneous combustion and C2H4 is used as auxiliary index gas to ...
QU Shijia +3 more
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Prediction method and new monitoring technology of goaf spontaneous combustion fire
Meikuang Anquan, 2021 The characteristic of mine goaf spontaneous combustion was introduced and summarized. The gas index method and temperature measurement method for predicting and forecasting goaf spontaneous combustion were analyzed.
CHEN Yang, WANG Wei
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SPONTANEOUS COMBUSTION OF MOLASSES. [PDF]
Journal of the American Chemical Society, 1897 n ...
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Energy Reports, 2021 For longwall top coal caving coalface characterized by strong rock burst tendency and high risk of spontaneous combustion, retreat speed is one of the key factors to induce the rock burst and spontaneous combustion of residual coal in goaf.
Shizhong Zhang +5 more
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Gong-kuang zidonghua, 2021 The prediction accuracy of the traditional coal spontaneous combustion temperature prediction model is poor. The requirement of parameter selection for the prediction model based on support vector machine (SVM) is high.
ZHENG Xuezhao1,2 +4 more
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A review on coal spontaneous combustion prediction based on machine learning
Meitan xuebaoThe coal mining industry confronts a formidable challenge posed by spontaneous combustion disasters. As one of the crucial steps of prevention, spontaneous combustion prediction enables the early detection of potential risks, thereby facilitating the ...
Jun DENG +5 more
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