Framework design for reliability engineering of complex systems

Yuansheng Lin, Daqing Li, Chaoran Liu, Rui Kang
{"title":"Framework design for reliability engineering of complex systems","authors":"Yuansheng Lin, Daqing Li, Chaoran Liu, Rui Kang","doi":"10.1109/CYBER.2014.6917429","DOIUrl":null,"url":null,"abstract":"Complex systems are known to show emergent, unexpected failure behaviors due to their inherent interdependency and interaction, including Internet, power grid, transportation systems and even financial systems. These complexities and the corresponding failure behaviors pose a challenge to traditional reliability engineering, since reliability of complex systems could not be comprehensively analyzed by methods such as FTA and FMECA, etc. Complex network theory is an effective and available technique to characterize the complex systems. The study on failure behaviors of complex systems combined with complex network theory will help to overcome the barriers in analyzing, calculating and improving the reliability of complex systems. A framework for the reliability engineering of complex systems is proposed in this paper, which is illustrated by an example of IEEE 14 BUS. The reliability of this typical complex system is calculated, and the vulnerable part of the system has also been identified, which can help us to improve the system reliability in terms of management and future design activities.","PeriodicalId":183401,"journal":{"name":"The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent","volume":"70 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"The 4th Annual IEEE International Conference on Cyber Technology in Automation, Control and Intelligent","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CYBER.2014.6917429","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

Abstract

Complex systems are known to show emergent, unexpected failure behaviors due to their inherent interdependency and interaction, including Internet, power grid, transportation systems and even financial systems. These complexities and the corresponding failure behaviors pose a challenge to traditional reliability engineering, since reliability of complex systems could not be comprehensively analyzed by methods such as FTA and FMECA, etc. Complex network theory is an effective and available technique to characterize the complex systems. The study on failure behaviors of complex systems combined with complex network theory will help to overcome the barriers in analyzing, calculating and improving the reliability of complex systems. A framework for the reliability engineering of complex systems is proposed in this paper, which is illustrated by an example of IEEE 14 BUS. The reliability of this typical complex system is calculated, and the vulnerable part of the system has also been identified, which can help us to improve the system reliability in terms of management and future design activities.
复杂系统可靠性工程的框架设计
众所周知,复杂系统由于其内在的相互依存和相互作用而表现出紧急的、意外的故障行为,包括互联网、电网、交通系统甚至金融系统。这些复杂性和相应的失效行为对传统的可靠性工程提出了挑战,因为复杂系统的可靠性无法通过FTA和FMECA等方法进行全面分析。复杂网络理论是表征复杂系统的一种有效可行的技术。结合复杂网络理论对复杂系统失效行为的研究将有助于克服复杂系统分析、计算和提高可靠性的障碍。本文提出了一个复杂系统可靠性工程的框架,并以ieee14总线为例进行了说明。对该典型复杂系统的可靠性进行了计算,并对系统的脆弱部分进行了识别,有助于我们在管理和今后的设计活动中提高系统的可靠性。
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 求助全文
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信