Application of Importance Measures to Transport Industry:Computation using Bayesian Networks and Fault Tree Analysis

摘要：

　　Importance measures are useful in the identification of components,which are most effective towards safety improvement.This paper will summarize a number of Component Importance Measures (CIM),computation of the CIM using Fault Tree Analysis (FTA) and Bayesian Networks (BNs) will be investigated for the transport industry.The BNs are directed acyclic probabilistic graphical models,used for joint distribution of random variables in a concise and efficient way.The BNs have several advantages over classical ways like FTA.

关键词： importance measures Fault Tree analysis Bayesian Networks analysis tansport industry

作者: Qamar Mahboob Eric Sch(o)ne Michael Kunze Jochen Trinckauf Ulrich Maschek

作者单位: Railway Signaling and Transport Safety Technology Department of TU Dresden Germany;Pakistan Railways Railway Signaling and Transport Safety Technology Department of TU Dresden Germany

会议类型: 国际会议

会议名称: 2012 International Conference on Quality, Reliability, Risk, Maintenance, and Safety Engineering & The 3rd International Conference on Maintenance Engineering (2012质量,可靠性,风险,维修性及安全性工程国际会议(QR2MSE 2012 & ICME 2012))

会议地点: 成都

会议语种:英文

页码: 17-22

在线出版日期: 2012-06-15（万方平台首次上网日期，不代表论文的发表时间）