[1]樊少冬.面向智能制造的数字化工厂实现技术分析[J].技术与市场,2019,26(10):173.
[2]GRIEVES M, VICKERS J.Digital twin:mitigating unpredictable, undesirable mergent behavior in complex systems[M].Berlin, Germany:Springer-Verlag, 2017:85-113.
[3]AHELEROFF S, Xu X, ZHONG R Y, et al.Digital twin as a service(DTaaS)in industry 4.0:an architecture reference model[J].Advanced Engineering Informatics, 2021, 47(2):101225.
[4]陶飞,刘蔚然,刘检华,等.数字孪生及其应用探索[J].计算机集成制造系统,2018,24(1):1-18.
[5]SCHLEICH B, ANWER N, MATHIEU L, et al.Shaping the digital twin for design and production engineering[J].CIRP Annals-Manufacturing Technology, 2017(66):141-144.
[6]STARK R, FRESEMANN C, LINDOW K.Development and operation of digital twins for technical systems and services[J].CIRP Annals, 2019, 68(1):129-132.
[7]REN Z J, WAN J F, DENG P.Machine-learning-driven digital twin for lifecycle management of complex equipment[J].IEEE Transactions on Emerging Topics in Computing, 2022, 10(1):9-22.
[8]陆剑峰,夏路遥,白欧,等.智能制造下产品数字孪生体全生命周期研究[J].自动化仪表,2021,42(3):1-7.
[9]苗田,张旭,熊辉,等.数字孪生技术在产品生命周期中的应用与展望[J].计算机集成制造系统,2019,25(6):1546-1558.
[10]ZHANG L Y, FENG L J, WANG J F, et al.Integration of design, manufacturing, and service based on digital twin to realize intelligent manufacturing[J].Machines, 2022, 10(4):275.
[11]程浙武,童水光,童哲铭,等.工业锅炉数字化设计与数字孪生综述[J].浙江大学学报(工学版),2021,55(8):1518-1528.
[12]白仲航,孙意为,许彤,等.基于设计任务的概念设计中产品数字孪生模型的构建[J].工程设计学报,2020,27(6):681-689.
[13]王昊琪,李浩,文笑雨,等.基于数字孪生的产品设计过程和工作量预测方法[J].计算机集成制造系统,2022,28(1):17-30.
[14]TAO F, SUIF Y, LIU A, et al.Digital twin-driven product design framework[J].International Journal of Production Research, 2019, 57(12):3935-3953.
[15]刘帅.基于数字孪生的产线状态虚实映射监测系统研究与实现[D].西安:西安电子科技大学,2021.
[16]BAO Q W, ZHAO G, YU Y, et al.The ontology-based modeling and evolution of digital twin for assembly workshop[J].International Journal of Advanced Manufacturing Technology, 2021, 117(1/2):395-411.
[17]刘洛宁.面向复杂产品装配质量的数字孪生模型评价方法[D].哈尔滨:哈尔滨工业大学,2021.
[18]骆伟超.基于Digital Twin的数控机床预测性维护关键技术研究[D].济南:山东大学,2020.
[19]LIU L L, ZHANG X Y, WAN X, et al.Digital twin-driven surface roughness prediction and process parameter adaptive optimization[J].Advanced Engineering Informatics, 2022, 51:101470.
[20]MI S H, FENG Y X, ZHENG H, et al.Prediction maintenance integrated decision-making approach supported by digital twin-driven cooperative awareness and interconnection framework[J].Journal of Manufacturing Systems, 2021, 58:329-345.