考虑双侧电源分布式组件故障次数的系统可靠性优化

IF 1.3 4区 工程技术 Q4 ENGINEERING, INDUSTRIAL
B. Maneckshaw, Kash Barker, G. S. Mahapatra
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引用次数: 0

摘要

摘要许多串联系统在设计使用寿命较早时就会出现故障。这类系统的故障率由一个双面功率分布来描述,这使得可以用单一分布来建模整个浴缸曲线的故障模式。提出了一种时变可靠性优化模型,通过冗余部件的优化配置来提高系统的可靠性,而冗余部件的失效分布遵循双向功率分布。为了解决多准则优化模型,我们提出了一种算法,该算法(i)确定所选组件具有较高平均剩余寿命的尺度公差,(ii)确定增强系统可靠性的冗余水平,以及(iii)确定其他最优系统特性,包括最小化成本和最小化体积。具有四个参数(a, b, c, η)的双向功率(TSP)分布模型的失效时间。我们考虑一个n级串联系统,并在级内分配冗余。我们提出了一个多目标优化问题来分配冗余,考虑可靠性,成本和系统体积。应用NSGA-II算法求解了一个实例。关键词:双侧配电系统可靠性冗余分配时间相关可靠性平均剩余寿命感谢编辑和匿名审稿人的宝贵意见和建议,使我们的工作有了很大的改进。附加信息:贡献者说明maneckshaw Balakrishnan是印度国立理工学院数学系的研究学者。他还在本地治里邮政技术教育学院(PIPMATE)和马埃的英迪拉甘地理工学院(Indira Gandhi Polytechnic College)开办的机构担任数学讲师。他在印度Thiruchirapalli的圣约瑟夫学院(自治)完成了硕士学位和哲学硕士学位。本地治里中央大学图论专业。目前从事可靠性工程方面的研究。卡什BarkerDr。Kash Barker是俄克拉荷马大学工业与系统工程学院的John a. Myers教授和David L. Boren教授。他获得了the University of Oklahoma的工业工程学士和硕士学位,以及the University of Virginia的系统工程博士学位。他的主要研究兴趣是基础设施和社区网络的可靠性、弹性和经济影响。美国MahapatraDr。G.S. Mahapatra持有印度Shibpur工程科学与技术研究所应用数学硕士和博士学位。他是印度国立理工学院数学系副教授。从事教学和科研工作17年以上。他发表了一百多篇研究论文,主题涵盖库存管理、可靠性、优化、模糊集理论、数学生物学和软计算。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
System reliability optimization with two-sided power distributed component failure times
AbstractMany systems connected in series are subject to failure earlier in their design life. The failure rate of such systems has been described by a two-sided power distribution, which enables modeling the entirety of the bathtub curve failure modes with a single distribution. We propose a time-dependent reliability optimization model for improving a system’s reliability through the optimal allocation of redundant components whose failure distribution follows a two-sided power distribution. To solve the multi-criteria optimization model, we propose an algorithm that (i) identifies the scale tolerance at which a selected component will have a higher mean residual life, (ii) identifies the level of redundancy for enhancing system reliability, and (iii) identifies other optimal system characteristics, including minimized cost and minimized volume.HighlightsTwo sided power (TSP) distribution with four parameters (a, b, c, η) models time-to-failure.We consider an n-stage series system and assign redundancy within the stages.We propose a multi-objective optimization problem to assign redundancy, accounting for reliability, cost, and system volume.An illustrative example is solved using the NSGA-II algorithm.Keywords: two-sided power distributionsystem reliabilityredundancy allocationtime-dependent reliabilitymean residual life AcknowledgementWe are grateful to Editors, and anonymous referees for their valuable comments and helpful suggestions, which have helped us to improve this work significantly.Additional informationNotes on contributorsB. ManeckshawManeckshaw Balakrishnan is a research scholar in the Department of Mathematics at National Institute of Technology, Puducherry in India. He is also working as Lecturer in Mathematics and attached to institutions run by Pondicherry Institute of Post Matric Technical Education (PIPMATE), as well as at Indira Gandhi Polytechnic College, Mahe. He completed his M.S. at St. Joseph's College (Autonomous) in Thiruchirapalli, India and an M.Phil. in Graph Theory at Pondicherry Central University. He is presently pursuing research in reliability engineering.Kash BarkerDr. Kash Barker is the John A. Myers Professor and a David L. Boren Professor in the School of Industrial and Systems Engineering at the University of Oklahoma. He earned B.S. and M.S. degrees in industrial engineering from the University of Oklahoma and a Ph.D. in systems engineering from the University of Virginia. His primary research interests lie in the reliability, resilience, and economic impacts of infrastructure and community networks.G. S. MahapatraDr. G.S. Mahapatra holds M.Sc. and Ph.D. degrees in Applied Mathematics from Indian Institute of Engineering Science and Technology, Shibpur, India. He is an Associate Professor in the Department of Mathematics in National Institute of Technology, Puducherry, India. He has been involved in teaching and research for more than 17 years. He has published more than hundred research papers in topics spanning inventory management, reliability, optimization, fuzzy set theory, mathematical biology, and soft computing.
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来源期刊
Quality Engineering
Quality Engineering ENGINEERING, INDUSTRIAL-STATISTICS & PROBABILITY
CiteScore
3.90
自引率
10.00%
发文量
52
审稿时长
>12 weeks
期刊介绍: Quality Engineering aims to promote a rich exchange among the quality engineering community by publishing papers that describe new engineering methods ready for immediate industrial application or examples of techniques uniquely employed. You are invited to submit manuscripts and application experiences that explore: Experimental engineering design and analysis Measurement system analysis in engineering Engineering process modelling Product and process optimization in engineering Quality control and process monitoring in engineering Engineering regression Reliability in engineering Response surface methodology in engineering Robust engineering parameter design Six Sigma method enhancement in engineering Statistical engineering Engineering test and evaluation techniques.
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