[1]EINSTEIN H H, VICK S G. Geological Model for Tunnel Cost Model [J]. Proc. Rapid Excavation and Tunneling Conf.,1974(2):1701-1720.
[2]李新宏,朱红卫,陈国明,等. 海底油气管道泄漏事故风险分析的贝叶斯动态模型[J]. 中国安全科学学报,2015,25(4):75-80.
LI Xinhong, ZHU Hongwei, CHEN Guoming, et al. Bayesian Dynamic Model for Analyzing Risk of Meeting Submarine Oil & Gas Pipeline Leakage Accident[J]. China Safety Science Journal,2015,25(4):75-80.
[3]周健,王红卫,吴邵海. 盾构法施工风险的多态贝叶斯网络模型分析[J]. 同济大学学报(自然科学版),2013,41(2):186-190.
ZHOU Jian,WANG Hongwei,WU Shaohai. Risk Analysis of Shield Construction by Polymorphic Bayesian Networks Model[J].Journal of Tongji University(Natural Science Edition),2013,41(2):186-190.
[4]郭媛媛,李龙彪,胡宇群,等. 民用飞机运行风险评估方法[J]. 航空工程进展,2016,7(2):253-258.
GU Yuanyuan, LI Longbiao, HU Yuqun, et al. Operation Risk Assessment Method of Civil Aircraft[J]. Advances in Aeronautical Science and Engineering,2016,7(2):253-258.
[5]贾潞. 基于风险管理的动车组受电弓故障树分析[D].西南交通大学,2015.
JIA Lu. Fault Tree Analysis of EMU Pantograph Based on Risk Management[D].Chengdu: Southwest Jiaotong University,2015.
[6]刘敬辉. 高速动车组空气弹簧悬挂系统安全风险分析及控制研究[J]. 铁道运输与经济,2017,39(1):66-70.
LIU Jinghui. Safety Risk Analysis and Risk Control Research on Air Spring Suspension System of High-speed EMU[J]. Railway Transport and Economy,2017,39(1):66-70.
[7]PEARL J F. Propagation and Structuring in Belief Networks [J]. Artificial Intelligence,1986,29(3):241-248.
[8]JENSEN F V. An Introduction to Bayesian Networks [M].New York: Springer,1996.
[9]宋华,张洪钺,王行仁. T-S模糊故障树分析方法[J]. 控制与决策,2005,20(8):854-859.
SONG Hua, ZHANG Hongyue, WANG Xingren. Fuzzy Fault Tree Analysis Based on T-S Model[J]. Control and Decision,2005,20(8):854-859.
[10]李兴运,齐金平. 基于T-S模糊故障树的受电弓系统可靠性分析[J].安全与环境学报,2018,18(1):33-38.
LI Xingyun, QI Jinping. Reliability Analysis of Pantograph System Based on T-S Fuzzy FTA[J]. Journal of Safety and Environment,2018,18(1):33-38.
[11]李盼,樊建春,刘书杰. 基于故障树与贝叶斯网络的钻井井塌事故的定量分析[J]. 中国安全生产科学技术,2014,10(1):143-149.
LI Pan, FAN Jianchun, LIU Shujie. Quantitative Analysis of Borehole Collapse in Drilling Base on Fault Tree Analysis and Bayesian Networks[J]. Journal of Safety Science and Technology,2014,10(1):143-149. |