Quanlei Wu, C. Lv, Dong Zhou, Yaoyao Wang, Dequan Yu
{"title":"Study on multi-event opportunistic maintenance decision-making model based on condition","authors":"Quanlei Wu, C. Lv, Dong Zhou, Yaoyao Wang, Dequan Yu","doi":"10.1109/ICPHM.2016.7542854","DOIUrl":null,"url":null,"abstract":"Because of the maintenance time of different maintenance events have varying degrees flexibility, and different occasion of maintenance will bring different impact on the maintenance and use of the system. Therefore, firstly, this paper analyzes the characteristics of hard time maintenance event and degenerate maintenance event. Secondly, it analyzes the influence of different maintenance events in different maintenance time. Thirdly, it based on opportunistic maintenance decision-making theory, according to the dependence between components in the system, integrating multiple repair events, aiming at minimized maintenance cost, builds multi-events opportunistic maintenance decision model based on health status. Finally, this model is solved by the optimization algorithm to find the optimal maintenance time and the combination of the components.","PeriodicalId":140911,"journal":{"name":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 IEEE International Conference on Prognostics and Health Management (ICPHM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICPHM.2016.7542854","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
Because of the maintenance time of different maintenance events have varying degrees flexibility, and different occasion of maintenance will bring different impact on the maintenance and use of the system. Therefore, firstly, this paper analyzes the characteristics of hard time maintenance event and degenerate maintenance event. Secondly, it analyzes the influence of different maintenance events in different maintenance time. Thirdly, it based on opportunistic maintenance decision-making theory, according to the dependence between components in the system, integrating multiple repair events, aiming at minimized maintenance cost, builds multi-events opportunistic maintenance decision model based on health status. Finally, this model is solved by the optimization algorithm to find the optimal maintenance time and the combination of the components.