会议专题

Safety Assessment Model Based on Dynamic Bayesian Network

  To take full advantage of the historical information,we adopt dynamic Bayesian networks and discrete-time Bayesian networks to describe the event trees or dynamic fault trees.On this basis of the regulation,corresponding dynamic Bayesian networks and discretetime Bayesian networks models are established for safety assessment in timing system.When the discrete-time time Bayesian network of dynamic fault trees is acquired,the Bayesian network is used to study the consequences probability,key degree and computation method.A simulated banking transaction system is analyzed and assessed by above models.The results show that the safety assessment scheme can provide model without subjectivity,which raises the credibility of model.In addition,it can obtain general assessment results and acquire more extensive diagnostics and information.

safety assessment historical information key degree Bayesian network fault tree

Yu Feng Liu Wei Gao Chunyang Tan Lisha

Network Center of Shenyang Jianzhu University,Shenyang,Liaoning,110168,China Student Work Department of Shenyang Jianzhu University,Shenyang,Liaoning,110168,China

国际会议

The 14th International Symposium on Distributed Computing and Applications to Business,Engineering and Science(DCABES 2015)(第十四届分布式计算及其应用国际学术研讨会)

贵阳

英文

372-375

2015-08-18(万方平台首次上网日期,不代表论文的发表时间)