Modelling Preventive Maintenance of Production Plant Given Estimated PM Data and Actual Failure Times

Lv Wen-yuan, W. Wang
{"title":"Modelling Preventive Maintenance of Production Plant Given Estimated PM Data and Actual Failure Times","authors":"Lv Wen-yuan, W. Wang","doi":"10.1109/ICMSE.2006.313857","DOIUrl":null,"url":null,"abstract":"Using the delay time maintenance modeling theory, this paper is concerned on a modelling study of optimising the preventive maintenance interval of a production plant. The model developed is fitted to the maintenance data of recorded failures and the estimated number of defects identified at preventive maintenance (PM). Firstly, the parameter values of the process by which defects arise and of the delay time distribution are estimated using the method of the maximum likelihood. Secondly, a PM model is proposed to describe the relationship between the total downtime and the PM interval. Finally, an optimal inspection interval of PM is identified, which is based upon the estimated model parameters and the PM model","PeriodicalId":115488,"journal":{"name":"2006 International Conference on Management Science and Engineering","volume":"26 4 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 International Conference on Management Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICMSE.2006.313857","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 12

Abstract

Using the delay time maintenance modeling theory, this paper is concerned on a modelling study of optimising the preventive maintenance interval of a production plant. The model developed is fitted to the maintenance data of recorded failures and the estimated number of defects identified at preventive maintenance (PM). Firstly, the parameter values of the process by which defects arise and of the delay time distribution are estimated using the method of the maximum likelihood. Secondly, a PM model is proposed to describe the relationship between the total downtime and the PM interval. Finally, an optimal inspection interval of PM is identified, which is based upon the estimated model parameters and the PM model
基于预估PM数据和实际故障时间的生产工厂预防性维护建模
本文利用延迟维修建模理论,对生产设备的预防性维修间隔优化问题进行了建模研究。所建立的模型拟合到记录故障的维修数据和在预防性维修(PM)中识别的估计缺陷数量。首先,用极大似然法估计缺陷产生过程的参数值和延迟时间分布的参数值;其次,提出了一个故障维修模型来描述总停机时间与故障维修时间之间的关系。最后,根据估计的模型参数和PM模型,确定PM的最优检查间隔
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