Fault Tree Analysis Using Evidence Theory and Evidential Networks With Imprecise Expert Knowledge

摘要：

　　Fault tree analysis (FTA) is a popular methodology for system reliability analysis.The occurrence probability of the basic event is accurate in traditional fault tree (FT).Owe to the lack of the reliability data,especially in early design stage;a large amount of uncertainties may be included in FTA.In this study,the Dempster-Shafer (D-S) evidence theory is employed to quantify the uncertainty of the FTA and to aggregate the different evaluation information of multiple experts on the occurrence probability of basic event.The evidential network (EN) is used to propagate the uncertainty in FTA.The FT of the aero-engine damage caused by low pressure of lubricating oil is analyzed.

关键词： fault tree analysis evidence theory evidence networks imprecise knowledge

作者: Jianping Yang Hong-Zhong Huang Qiang Liao Yanfeng Li

作者单位: School of Mechatronics Engineering University of Electronic Science and Technology of China Chengdu, School of Mechatronics Engineering University of Electronic Science and Technology of China Chengdu,

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: 74-79

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）