{"title":"将轴承柔性纳入基于监督机器学习的滚珠轴承诊断数字孪生中","authors":"Souleymane Sow, Xavier Chiementin, Lanto Rasolofondraibe, Olivier Cousinard","doi":"10.1080/15397734.2024.2397453","DOIUrl":null,"url":null,"abstract":"Vibration analysis remains the most used technique for the maintenance of rotating machines, despite requiring their availability. However, with the emergence of Industry 4.0, digital twins provide...","PeriodicalId":51125,"journal":{"name":"Mechanics Based Design of Structures and Machines","volume":"12 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Incorporating bearing flexibility into a digital twin for supervised machine learning-based ball bearing diagnostics\",\"authors\":\"Souleymane Sow, Xavier Chiementin, Lanto Rasolofondraibe, Olivier Cousinard\",\"doi\":\"10.1080/15397734.2024.2397453\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vibration analysis remains the most used technique for the maintenance of rotating machines, despite requiring their availability. However, with the emergence of Industry 4.0, digital twins provide...\",\"PeriodicalId\":51125,\"journal\":{\"name\":\"Mechanics Based Design of Structures and Machines\",\"volume\":\"12 1\",\"pages\":\"\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2024-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Mechanics Based Design of Structures and Machines\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/15397734.2024.2397453\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MECHANICS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Mechanics Based Design of Structures and Machines","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/15397734.2024.2397453","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MECHANICS","Score":null,"Total":0}
Incorporating bearing flexibility into a digital twin for supervised machine learning-based ball bearing diagnostics
Vibration analysis remains the most used technique for the maintenance of rotating machines, despite requiring their availability. However, with the emergence of Industry 4.0, digital twins provide...
期刊介绍：
Emphasizing contemporary research of immediate and potential application to mechanical, civil, aerospace, and automotive engineering as well as naval architecture, Mechanics Based Design of Structures and Machines contains analytical, numerical, and experimental contributions of permanent interest to research engineers. In addition to classical applications such as structures and machine analysis and design, the journal encourages submission of new fundamental and interdisciplinary contributions of mechanics and mechanics-based design in emerging application areas such as robotics, automotive, space structures, smart structures, and micromachines. Other technical areas of interest include high-speed computing, numerical methods, structural optimization, variational methods, stability, fatigue and fracture mechanics, plasticity, and related basic applied mechanics and mechanics-based design.
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