Linxiao Yan, Yueping Qin, Yi Xu, Qiaohong Jiang, Hao Xu, Changqing Chu, Yipeng Song
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Research on Prediction and Early Warning Technology of Gob Spontaneous Combustion Based on RBF Neural Network
Temperature is the most direct indicator to reflect the likelihood of coal spontaneous combustion (CSC). To accurately predict coal temperature, an online observation system for gob temperature and...
期刊介绍：
Combustion Science and Technology is an international journal which provides for open discussion and prompt publication of new results, discoveries and developments in the various disciplines which constitute the field of combustion. The editors invite original contributions dealing with flame and fire research, flame radiation, chemical fuels and propellants, reacting flows, thermochemistry, material synthesis, atmospheric chemistry and combustion phenomena related to aircraft gas turbines, chemical rockets, ramjets, automotive engines, furnaces and environmental studies. In so doing, the editors hope to establish a central vehicle for the rapid exchange of ideas and results emanating from the many diverse areas associated with combustion. Accordingly, both full-length papers on comprehensive studies, and communications of significant, but not fully explored, theoretical or experimental developments are included in the journal together with unsolicited and solicited comments on published matter and yearly, cumulative indices.
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