Donghyun Lee, Yong-Kyu Jeon, Junsuk Oh, Chunghyun Lee, Taeyun Ha, Sungrae Cho
{"title":"Preventive Maintenance Techniques through Learning-based Remaining Useful Lifetime Prediction in IoT Sensor Networks: The Survey","authors":"Donghyun Lee, Yong-Kyu Jeon, Junsuk Oh, Chunghyun Lee, Taeyun Ha, Sungrae Cho","doi":"10.1109/ICAIIC57133.2023.10067003","DOIUrl":null,"url":null,"abstract":"In this paper, various remaining useful life (RUL) studies were investigated to implement a prognostics and health management (PHM) system that monitors and predicts failures of machines using vast industrial data obtained through the development of IoT. We introduce prediction techniques and analyze cases applied to the aviation and shipping industries to investigate RUL technology that can be applied to various industries in the future.","PeriodicalId":105769,"journal":{"name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-02-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAIIC57133.2023.10067003","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 this paper, various remaining useful life (RUL) studies were investigated to implement a prognostics and health management (PHM) system that monitors and predicts failures of machines using vast industrial data obtained through the development of IoT. We introduce prediction techniques and analyze cases applied to the aviation and shipping industries to investigate RUL technology that can be applied to various industries in the future.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
