Constructing Bayesian Network by Integrating FMEA with FTA

D. Ma, Zhen Zhou, Yongqing Jiang, W. Ding
{"title":"Constructing Bayesian Network by Integrating FMEA with FTA","authors":"D. Ma, Zhen Zhou, Yongqing Jiang, W. Ding","doi":"10.1109/IMCCC.2014.148","DOIUrl":null,"url":null,"abstract":"Bayesian Network has an advantage in dealing with uncertainty. But It is difficult to construct a scientific and rational Bayesian Network model in practice application. In order to solve this problem, a novel method for constructing Bayesian Network by integrating Failure Mode and Effect Analysis (FMEA) with Fault Tree Analysis (FTA) was proposed. Firstly, the structure matrix representations of FMEA, FTA and Bayesian Network were shown and a structure matrix integration algorithm was explained. Then, an approach for constructing Bayesian Network by obtaining information on node, structure and parameter from FMEA and FTA based on structure matrix was put forward. Finally, in order to verify the feasibility of the method, an illustrative example was given. This method can simplify the modeling process and improve the modeling efficiency for constructing Bayesian Network and promote the application of Bayesian Network in the system reliability and safety analysis.","PeriodicalId":152074,"journal":{"name":"2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control","volume":"63 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-09-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Fourth International Conference on Instrumentation and Measurement, Computer, Communication and Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2014.148","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8

Abstract

Bayesian Network has an advantage in dealing with uncertainty. But It is difficult to construct a scientific and rational Bayesian Network model in practice application. In order to solve this problem, a novel method for constructing Bayesian Network by integrating Failure Mode and Effect Analysis (FMEA) with Fault Tree Analysis (FTA) was proposed. Firstly, the structure matrix representations of FMEA, FTA and Bayesian Network were shown and a structure matrix integration algorithm was explained. Then, an approach for constructing Bayesian Network by obtaining information on node, structure and parameter from FMEA and FTA based on structure matrix was put forward. Finally, in order to verify the feasibility of the method, an illustrative example was given. This method can simplify the modeling process and improve the modeling efficiency for constructing Bayesian Network and promote the application of Bayesian Network in the system reliability and safety analysis.
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
FMEA与FTA集成构建贝叶斯网络
贝叶斯网络在处理不确定性方面具有优势。但在实际应用中很难建立科学合理的贝叶斯网络模型。为了解决这一问题,提出了一种将故障模式与影响分析(FMEA)与故障树分析(FTA)相结合的贝叶斯网络构造方法。首先,给出了FMEA、FTA和贝叶斯网络的结构矩阵表示,并给出了结构矩阵集成算法。然后,提出了一种基于结构矩阵从FMEA和FTA中获取节点、结构和参数信息的贝叶斯网络构建方法。最后,通过一个算例验证了该方法的可行性。该方法简化了构建贝叶斯网络的建模过程,提高了建模效率,促进了贝叶斯网络在系统可靠性和安全性分析中的应用。
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
Research on SNR Estimation Algorithm in FH System Users Classification on Broadcast and Television System Based on Statistical Analysis System Software Research on UV Flame Detector Design of Aircraft Power Subsystem Simulation Exciter Side-Mounted Window Orientation Algorithm and Attitude Controller Design for Kinetic Kill Vehicle
×
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:481959085
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