A Combinatorial Reliability Analysis of Dynamic Fault Trees with Priority-AND Gates

Piaoyi Liu, Siwei Zhou, Luyao Ye, Dongdong Zhao, Jianwen Xiang
{"title":"A Combinatorial Reliability Analysis of Dynamic Fault Trees with Priority-AND Gates","authors":"Piaoyi Liu, Siwei Zhou, Luyao Ye, Dongdong Zhao, Jianwen Xiang","doi":"10.1109/ISSREW53611.2021.00062","DOIUrl":null,"url":null,"abstract":"Dynamic fault trees (DFT) with priority-AND (PAND) gates are widely used in modeling systems with sequence-dependent failure behavior. We defined events as Boolean variables, and we show that by adding to a new Boolean operator denoted PRIOR and introducing the conditioning events, it is possible to mode the sequence-dependent failure behaviors between components in the PAND gate. A set of theorems based on PRIOR are provided to express the structure-function in a sum-of-products canonical form. Then, we propose two rules to generate the hybrid binary decision diagram (HBDD) model of the system. The HBDD can be applied to both PAND systems (DFTs model with PAND gates) and static systems (static fault tree models) with any arbitrary component time-to-failure distributions and different component failure parameter values. Also, the combinatorial method can avoid the generation of invalid nodes when building HBDDs. The application and advantages of the proposed solution are illustrated through an analysis of the case study.","PeriodicalId":385392,"journal":{"name":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSREW53611.2021.00062","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

Dynamic fault trees (DFT) with priority-AND (PAND) gates are widely used in modeling systems with sequence-dependent failure behavior. We defined events as Boolean variables, and we show that by adding to a new Boolean operator denoted PRIOR and introducing the conditioning events, it is possible to mode the sequence-dependent failure behaviors between components in the PAND gate. A set of theorems based on PRIOR are provided to express the structure-function in a sum-of-products canonical form. Then, we propose two rules to generate the hybrid binary decision diagram (HBDD) model of the system. The HBDD can be applied to both PAND systems (DFTs model with PAND gates) and static systems (static fault tree models) with any arbitrary component time-to-failure distributions and different component failure parameter values. Also, the combinatorial method can avoid the generation of invalid nodes when building HBDDs. The application and advantages of the proposed solution are illustrated through an analysis of the case study.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
具有优先级与门的动态故障树组合可靠性分析
具有优先与门的动态故障树(DFT)被广泛应用于具有序列依赖故障行为的系统建模。我们将事件定义为布尔变量,并表明通过添加一个新的布尔操作符表示为PRIOR并引入条件作用事件,可以对PAND门中组件之间依赖于序列的故障行为进行建模。给出了一组基于先验的定理,将结构函数表示为积和规范形式。然后,我们提出了两个规则来生成系统的混合二元决策图(HBDD)模型。HBDD既可以应用于PAND系统(带PAND门的DFTs模型),也可以应用于具有任意组件失效时间分布和不同组件失效参数值的静态系统(静态故障树模型)。同时,组合方法可以避免在构建hbdd时产生无效节点。通过实例分析,说明了该方案的应用和优点。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
An efficient dual ensemble software defect prediction method with neural network Genetic Algorithm-based Testing of Industrial Elevators under Passenger Uncertainty Predicting gray fault based on context graph in container-based cloud Aging and Rejuvenation Models of Load Changing Attacks in Micro-Grids Sensitivity Analysis of Software Rejuvenation Model with Markov Regenerative Process
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1