Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system

Ruoyu Liao, Yihai He, Xin Zheng, Yuqing Zhang
{"title":"Mission reliability driven Risk-based maintenance approach of multi-state intelligent manufacturing system","authors":"Ruoyu Liao, Yihai He, Xin Zheng, Yuqing Zhang","doi":"10.1109/ICRMS55680.2022.9944578","DOIUrl":null,"url":null,"abstract":"Risk-based thinking can better characterize and quantify the defects in the operational process of the manufacturing system, so the probability and loss of defects can be reduced by considering maintenance from the perspective of risk. However, current studies about risk-based maintenance (RBM) for manufacturing systems are rare. Therefore, a risk modeling and maintenance method based on multi-state intelligent manufacturing system is proposed. First, a new definition of operational risk of manufacturing system is proposed by extending the conception of the mission reliability of manufacturing system, and the connotation of RBM is explained. Second, a manufacturing system operational risk model is built based on mission reliability. Third, a RBM framework is proposed to determine the priority of machine maintenance by evaluating the risk level of the machine. Finally, an example is given to illustrate the effectiveness of the proposed method.","PeriodicalId":421500,"journal":{"name":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 13th International Conference on Reliability, Maintainability, and Safety (ICRMS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICRMS55680.2022.9944578","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

Risk-based thinking can better characterize and quantify the defects in the operational process of the manufacturing system, so the probability and loss of defects can be reduced by considering maintenance from the perspective of risk. However, current studies about risk-based maintenance (RBM) for manufacturing systems are rare. Therefore, a risk modeling and maintenance method based on multi-state intelligent manufacturing system is proposed. First, a new definition of operational risk of manufacturing system is proposed by extending the conception of the mission reliability of manufacturing system, and the connotation of RBM is explained. Second, a manufacturing system operational risk model is built based on mission reliability. Third, a RBM framework is proposed to determine the priority of machine maintenance by evaluating the risk level of the machine. Finally, an example is given to illustrate the effectiveness of the proposed method.
任务可靠性驱动的多状态智能制造系统风险维护方法
基于风险的思维可以更好地表征和量化制造系统运行过程中的缺陷,从风险的角度考虑维修,可以降低缺陷发生的概率和损失。然而,目前关于基于风险的制造系统维护(RBM)的研究很少。为此,提出了一种基于多状态智能制造系统的风险建模与维护方法。首先,通过对制造系统任务可靠性概念的扩展,提出了制造系统操作风险的新定义,并对RBM的内涵进行了解释。其次,建立了基于任务可靠性的制造系统运行风险模型。第三,提出了一个RBM框架,通过评估机器的风险等级来确定机器维修的优先级。最后,通过一个算例说明了所提方法的有效性。
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