 Analysis and measurement of multifactor risk in underground coal mine accidents based on coupling theoryWanguan Qiao Reliability Engineering and System Safety, 2021, vol. 208, issue C Abstract: Coal mine accidents are not only caused by a single factor risk, but also by the coupling between multifactor risks. Therefore, exploring the mechanism of multifactor risk and measuring the coupling risk is particularly important for controlling coal mine accidents. This paper explores the definition, classification, coupling process and decoupling principle of multifactor risk in underground coal mine accidents. A multifactor risk measurement model based on coupling theory is proposed to measure the magnitude of the risk coupling effect using data of 375 major accidents from 2001 to 2016. The results indicate that the risk caused by the coupling of human-environment-management is the greatest in the three-factor risk coupling of coal mine, and the risk coupling of human and management factors produces greatest risk in two-factor risk coupling. The risk value of coal mine accident increases with the increase of coupling factors. The decoupling idea can be used to weaken the coupling effect among the factors found in coal mining enterprises. Keywords: Coal mine accidents; Multifactor risk; Coupling theory; N-K model (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:208:y:2021:i:c:s0951832021000053 DOI: 10.1016/j.ress.2021.107433 Access Statistics for this article Reliability Engineering and System Safety is currently edited by Carlos Guedes Soares More articles in Reliability Engineering and System Safety from Elsevier |
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