学术
国际标准刊号：ISSN 1671-251X
国内统一刊号：CN 32-1627
摘 要:
文章首先介绍了贝叶斯网络，探讨了事故树转换为贝叶斯网络的算法。然后以煤炭生产系统中的井下大巷运输事故安全评价为例，进行了计算机仿真，并阐述说明了基于贝叶斯网络的煤矿生产系统安全评价方法的优越性。[著者文摘]
文章出处:
《工矿自动化》-2008年1期 -1-4页
Industry and Automation
栏目信息:
文献标识码:
A
文章编号:
1671-251X（2008）01-0001-04
[参考文献]
Application of Bayesian Networks in Safety Assessment of Coal Mine Production System
LIU Wen-sheng, ZENG Feng-zhang （Management and Economic School of Beijing Institute of Technology, Beijing 100081, China）
Abstract:
The paper introduced the Bayesian networks briefly and discussed the algorithm of transforming fault tree into Bayesian networks at first, then taking safety assessment of underground laneway transportation accident of coal mine production system as example made computer simulation, and discussed the advantages of safety assessment for coal mine production system based on Bayesian networks.[著者文摘]
Key words:
coal mine underground, safety production, safety assessment, fault tree analysis, Bayesian networks
收稿日期: 2007-08-06
基金资助:
河北省教育厅基金项目（2003307）
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