Reliability Estimation of Parallel Repairable System under Uncertainty in Lifetime Data

Q3 Mathematics Stochastics and Quality Control Pub Date : 2023-05-03 DOI:10.1515/eqc-2022-0044
Sruthi K., Mahesh Kumar
{"title":"Reliability Estimation of Parallel Repairable System under Uncertainty in Lifetime Data","authors":"Sruthi K., Mahesh Kumar","doi":"10.1515/eqc-2022-0044","DOIUrl":null,"url":null,"abstract":"Abstract Reliability is a popular concept that has been used in the manufacturing industry. In this paper, we consider a parallel system containing n non-identical and independent components in which each component is repairable except when all components are failed. As a special case, estimating the reliability of the system with identical components is considered. In real life, the data obtained for repair rate and failure rate could be subject to uncertainty. Here, to address this situation, failure and repair rates are considered as fuzzy numbers to estimate the reliability of the system. Fuzzy system reliability is estimated using fuzzy failure and repair rates, which are obtained by using confidence intervals and point estimators of failure rate and repair rate.","PeriodicalId":37499,"journal":{"name":"Stochastics and Quality Control","volume":"76 1","pages":"1 - 9"},"PeriodicalIF":0.0000,"publicationDate":"2023-05-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Stochastics and Quality Control","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1515/eqc-2022-0044","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Mathematics","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Reliability is a popular concept that has been used in the manufacturing industry. In this paper, we consider a parallel system containing n non-identical and independent components in which each component is repairable except when all components are failed. As a special case, estimating the reliability of the system with identical components is considered. In real life, the data obtained for repair rate and failure rate could be subject to uncertainty. Here, to address this situation, failure and repair rates are considered as fuzzy numbers to estimate the reliability of the system. Fuzzy system reliability is estimated using fuzzy failure and repair rates, which are obtained by using confidence intervals and point estimators of failure rate and repair rate.
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
寿命数据不确定下并联可修系统可靠性估计
摘要可靠性是一个广泛应用于制造业的概念。本文考虑一个包含n个不相同且独立的组件的并行系统,其中每个组件都是可修复的,除非所有组件都失效。作为一种特殊情况,考虑了具有相同部件的系统的可靠性估计。在实际生活中,获得的修理率和故障率数据可能存在不确定性。这里,为了解决这种情况,故障率和修复率被视为模糊数来估计系统的可靠性。利用模糊故障率和修复率的置信区间和点估计得到模糊故障率和修复率,对模糊系统可靠性进行估计。
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
Stochastics and Quality Control
Stochastics and Quality Control Mathematics-Discrete Mathematics and Combinatorics
CiteScore
1.10
自引率
0.00%
发文量
12
期刊最新文献
Population Dependent Two-Sex Branching Process with Random Mating and Overlapping Generations Assessment of Reliability of Power Systems Under Adverse Weather Condition Using Markov System Dynamic Method On Subcritical Markov Branching Processes with a Specified Limiting Conditional Law A Bayesian Extended Exponentially Weighted Moving Average Control Chart Galton–Watson Theta-Processes in a Varying Environment
×
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