{"title":"Availability analysis of electronic flight instrument system based on dynamic fault tree","authors":"Haiyong Dong, Guoqing Wang, Zhengjun Zhai, Yanhong Lu, Qingfan Gu","doi":"10.1109/ICACI.2018.8377503","DOIUrl":null,"url":null,"abstract":"As a high availability product, Electronic Flight Instrument System (EFIS) has very complicated redundancy structures to fulfill high safety integrity requirement. This paper presents a comprehensive study on the availability analysis for EFIS by using Dynamic Fault Tree (DFT) approach based on Markov chain with modularization method. The static fault sub-tree is solved by Binary Decision Diagram (BDD) and the dynamic fault sub-tree is solved by Markov chain. A novel Markov chain expression is utilized to avoid state explosion of dynamic fault sub-tree. Besides, Minimal Cut Sequence Set (MCSS) are generated. At last, Monte Carlo simulation is carried out to verify the theoretical results.","PeriodicalId":346930,"journal":{"name":"International Conference on Advanced Computational Intelligence","volume":"9 6-7","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on Advanced Computational Intelligence","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICACI.2018.8377503","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
As a high availability product, Electronic Flight Instrument System (EFIS) has very complicated redundancy structures to fulfill high safety integrity requirement. This paper presents a comprehensive study on the availability analysis for EFIS by using Dynamic Fault Tree (DFT) approach based on Markov chain with modularization method. The static fault sub-tree is solved by Binary Decision Diagram (BDD) and the dynamic fault sub-tree is solved by Markov chain. A novel Markov chain expression is utilized to avoid state explosion of dynamic fault sub-tree. Besides, Minimal Cut Sequence Set (MCSS) are generated. At last, Monte Carlo simulation is carried out to verify the theoretical results.