Xiao-xi Liu, Yong-Seon Mo, Jia-le Lu, Zi-gang Cai, Jin Li
{"title":"A Continuous Evaluation Method and Model of Product Storage Lifetime","authors":"Xiao-xi Liu, Yong-Seon Mo, Jia-le Lu, Zi-gang Cai, Jin Li","doi":"10.1109/CACML55074.2022.00011","DOIUrl":null,"url":null,"abstract":"In order to find out the actual product storage lifetime and make the product deployment and maintenance strategy, the continuous evaluation method and model of product storage lifetime are studied by combining traditional data degradation trend prediction algorithm and intelligent algorithm. It shows a good prediction effect on both the random and the determined change trend data. Based on the lifetime evaluation model, it can continuously predict the product lifetime with high accuracy, greatly save the storage lifetime evaluation cost, and guide the manufacturer to reduce the maintenance support cost of the product.","PeriodicalId":137505,"journal":{"name":"2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Asia Conference on Algorithms, Computing and Machine Learning (CACML)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CACML55074.2022.00011","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In order to find out the actual product storage lifetime and make the product deployment and maintenance strategy, the continuous evaluation method and model of product storage lifetime are studied by combining traditional data degradation trend prediction algorithm and intelligent algorithm. It shows a good prediction effect on both the random and the determined change trend data. Based on the lifetime evaluation model, it can continuously predict the product lifetime with high accuracy, greatly save the storage lifetime evaluation cost, and guide the manufacturer to reduce the maintenance support cost of the product.