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融合D-S理论的锅炉人因贝叶斯网络安全性定量分析
引用本文:初珠立,杨自春,梁洁,彭茂林.融合D-S理论的锅炉人因贝叶斯网络安全性定量分析[J].舰船科学技术,2012,34(9):93-97.
作者姓名:初珠立  杨自春  梁洁  彭茂林
作者单位:海军工程大学船舶与动力学院,湖北武汉,430033
基金项目:武器装备预研基金项目(9140A27050109JB1112);总装“十一五”预研基金项目(513270301);教育部优秀人才支持计划项目
摘    要:针对船用锅炉人因安全性分析中存在的知识不确定性,采用D-S证据理论对多专家信息进行融合并建立考虑人因的贝叶斯网络,得到节点条件概率的区间表示形式.经加权平均后代入贝叶斯网络计算,与面向对象贝叶斯网络和FTA等方法的对比显示,该方法能够更加有效地融合不同专家信息,也更为符合工程实际.

关 键 词:不确定性  D-S证据理论  人因因素  贝叶斯网络  安全性分析  船用锅炉

Security quantitative analysis of ship boiler based on human factor Bayesian networks fusion with D-S theory
CHU Zhu-li , YANG Zi-chun , LIANG Jie , PENG Mao-lin.Security quantitative analysis of ship boiler based on human factor Bayesian networks fusion with D-S theory[J].Ship Science and Technology,2012,34(9):93-97.
Authors:CHU Zhu-li  YANG Zi-chun  LIANG Jie  PENG Mao-lin
Institution:(College of Naval Architecture and Power,Naval University of Engineering,Wuhan 430033,China)
Abstract:Uncertain information is a common problem in ship boiler safety analysis,the D-S evidence theory fused information of different experts well and a Bayesian Network was built considering human factors,and got conditional probability of the nodes in form of interzones.Then input the weighted average information to the BN model.Contrast with object-oriented BN,FTA shows that this method can fuse information from different experts better,the data is more accurate for project.
Keywords:uncertainty  D-S evidence theory  human factor  Bayesian networks  safety analysis  marine boiler
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