Accident causes data-driven coal and gas outburst accidents prevention: Application of data mining and machine learning in accident path mining and accident case-based deduction

Analyzing the causes of accidents, excavating accident paths, and applying accident prevention are important tasks in safety management. Focusing on coal and gas outburst accidents, this study examined the primary accident path and conducted applied research on the reasoning of the accident case. Fi...

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Vydané v:	Process safety and environmental protection Ročník 162; s. 891 - 913
Hlavní autori:	Xuecai, Xie, Xueming, Shu, Gui, Fu, Shifei, Shen, Qingsong, Jia, Jun, Hu, Zhirong, Wu
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Rugby Elsevier Ltd 01.06.2022 Elsevier Science Ltd
Predmet:	Accident case-based deduction Accident cause sensitivity analysis Accident causes data driven Accident paths mining Accident prevention Algorithms Apriori-Bayesian algorithm Bayesian analysis Coal Coal and gas outburst Coal gas outbursts Coal mines Coal mining Coupling Data mining Deduction Machine learning Mining accidents & safety Reasoning Reliability analysis Resource management Safety Safety management Sensitivity analysis Statistical analysis China Guizhou China Accident paths mining Accident cause sensitivity analysis Accident causes data driven Coal and gas outburst Accident case-based deduction Apriori-Bayesian algorithm
ISSN:	0957-5820, 1744-3598
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