A Fault Diagnosis Model for Embedded Software Based on FMEA/FTA and Bayesian Network

摘要：

Failure Modes and Effects Analysis (FMEA) and Fault Tree Analysis (FTA) are two effective fault analysis technologies and the integration of them is also applied widely in many industry domains.But when they are used for fault diagnosis, the ability of inference is not very enough and especially they are not suitable to use the fault related symptoms to do some posterior inference.To solve this problem, this paper combines FMEA and FTA based on Bayesian Network (BN) to form a fault diagnosis analysis model.Case study shows that this model has a good FMEA/FTA fusion ability and posterior inference ability for embedded software fault diagnosis.

关键词： Fault diagnosis Bayesian network FMEA FTA

作者: Yang Shunkun Lu Minyan Liu Bin Hao Bonan

作者单位: Department of System Engineering of Engineering Technology Beihang University Beijng,China Department of System Engineering of Engineering Technology Beiliang University Beijng,China

会议类型: 国际会议

会议名称: 2009 8th International Conference on Reliability,Maintainability and Safety(第八届中国国际可靠性、维修性、安全性会议)

会议地点: 成都

会议语种:英文

页码: 778-782

在线出版日期: 2009-08-24（万方平台首次上网日期，不代表论文的发表时间）