Paulo Victor Lopes, Leonardo Silveira, Roberto Douglas Guimaraes Aquino, Carlos Henrique Ribeiro, Anders Skoogh, Filipe Alves Neto Verri
{"title":"数字孪生的合成数据生成：在缺乏数据的情况下实现生产系统分析","authors":"Paulo Victor Lopes, Leonardo Silveira, Roberto Douglas Guimaraes Aquino, Carlos Henrique Ribeiro, Anders Skoogh, Filipe Alves Neto Verri","doi":"10.1080/0951192x.2024.2322981","DOIUrl":null,"url":null,"abstract":"Industry increasingly focuses on data-driven digital twins of production lines, especially for planning, controlling and optimising applications. However, the lack of open data on manufacturing sys...","PeriodicalId":13907,"journal":{"name":"International Journal of Computer Integrated Manufacturing","volume":"69 1","pages":""},"PeriodicalIF":3.7000,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Synthetic data generation for digital twins: enabling production systems analysis in the absence of data\",\"authors\":\"Paulo Victor Lopes, Leonardo Silveira, Roberto Douglas Guimaraes Aquino, Carlos Henrique Ribeiro, Anders Skoogh, Filipe Alves Neto Verri\",\"doi\":\"10.1080/0951192x.2024.2322981\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Industry increasingly focuses on data-driven digital twins of production lines, especially for planning, controlling and optimising applications. However, the lack of open data on manufacturing sys...\",\"PeriodicalId\":13907,\"journal\":{\"name\":\"International Journal of Computer Integrated Manufacturing\",\"volume\":\"69 1\",\"pages\":\"\"},\"PeriodicalIF\":3.7000,\"publicationDate\":\"2024-03-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Computer Integrated Manufacturing\",\"FirstCategoryId\":\"5\",\"ListUrlMain\":\"https://doi.org/10.1080/0951192x.2024.2322981\",\"RegionNum\":3,\"RegionCategory\":\"工程技术\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computer Integrated Manufacturing","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1080/0951192x.2024.2322981","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Synthetic data generation for digital twins: enabling production systems analysis in the absence of data
Industry increasingly focuses on data-driven digital twins of production lines, especially for planning, controlling and optimising applications. However, the lack of open data on manufacturing sys...
期刊介绍：
International Journal of Computer Integrated Manufacturing (IJCIM) reports new research in theory and applications of computer integrated manufacturing. The scope spans mechanical and manufacturing engineering, software and computer engineering as well as automation and control engineering with a particular focus on today’s data driven manufacturing. Terms such as industry 4.0, intelligent manufacturing, digital manufacturing and cyber-physical manufacturing systems are now used to identify the area of knowledge that IJCIM has supported and shaped in its history of more than 30 years.
IJCIM continues to grow and has become a key forum for academics and industrial researchers to exchange information and ideas. In response to this interest, IJCIM is now published monthly, enabling the editors to target topical special issues; topics as diverse as digital twins, transdisciplinary engineering, cloud manufacturing, deep learning for manufacturing, service-oriented architectures, dematerialized manufacturing systems, wireless manufacturing and digital enterprise technologies to name a few.
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
