Citations (173)
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Foivos Psarommatis & Gokan May. (2023) A standardized approach for measuring the performance and flexibility of digital twins. International Journal of Production Research 61:20, pages 6923-6938.
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Mario Verdugo-Cedeño, Suraj Jaiswal, Ville Ojanen, Lea Hannola & Aki Mikkola. (2023) Simulation-Based Digital Twins Enabling Smart Services for Machine Operations: An Industry 5.0 Approach. International Journal of Human–Computer Interaction 0:0, pages 1-17.
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Panagiotis Aivaliotis, Zoi Arkouli, Konstantinos Georgoulias & Sotiris Makris. (2023) Methodology for enabling dynamic digital twins and virtual model evolution in industrial robotics - a predictive maintenance application. International Journal of Computer Integrated Manufacturing 36:7, pages 947-965.
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Litong Zhang, Yu Guo, Weiwei Qian, Weili Wang, Daoyuan Liu & Sai Liu. (2023) Modelling and online training method for digital twin workshop. International Journal of Production Research 61:12, pages 3943-3962.
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Geng Zhang, Chun-Hsien Chen, Bufan Liu, Xinyu Li & Zuoxu Wang. (2023) Hybrid sensing-based approach for the monitoring and maintenance of shared manufacturing resources. International Journal of Production Research 61:12, pages 3849-3867.
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Sylvain Chabanet, Hind Bril El-Haouzi, Michael Morin, Jonathan Gaudreault & Philippe Thomas. (2023) Toward digital twins for sawmill production planning and control: benefits, opportunities, and challenges. International Journal of Production Research 61:7, pages 2190-2213.
Read now
Read now
P. Aivaliotis, D. Kaliakatsos-Georgopoulos & S. Makris. (2023) Physics-based modelling of robot’s gearbox including non-linear phenomena. International Journal of Computer Integrated Manufacturing 0:0, pages 1-12.
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Oscar Serradilla, Ekhi Zugasti, Julian Ramirez de Okariz, Jon Rodriguez & Urko Zurutuza. (2022) Methodology for data-driven predictive maintenance models design, development and implementation on manufacturing guided by domain knowledge. International Journal of Computer Integrated Manufacturing 35:12, pages 1310-1334.
Read now
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G. Ø Rønsch, I. López-Espejo, D. Michelsanti, Y. Xie, P. Popovski & Z.-H. Tan. (2022) Utilization of acoustic signals with generative Gaussian and autoencoder modeling for condition-based maintenance of injection moulds. International Journal of Computer Integrated Manufacturing 0:0, pages 1-16.
Read now
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Murat Atalay, Ugur Murat, Busra Oksuz, Ayse Merve Parlaktuna, Erhan Pisirir & Murat Caner Testik. (2022) Digital twins in manufacturing: systematic literature review for physical–digital layer categorization and future research directions. International Journal of Computer Integrated Manufacturing 35:7, pages 679-705.
Read now
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Jože M. Rožanec, Jinzhi Lu, Jan Rupnik, Maja Škrjanc, Dunja Mladenić, Blaž Fortuna, Xiaochen Zheng & Dimitris Kiritsis. (2022) Actionable cognitive twins for decision making in manufacturing. International Journal of Production Research 60:2, pages 452-478.
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Kung-Jeng Wang, Ying-Hao Lee & Septianda Angelica. (2021) Digital twin design for real-time monitoring – a case study of die cutting machine. International Journal of Production Research 59:21, pages 6471-6485.
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Tian Wang, Jiakun Li, Yingjun Deng, Chuang Wang, Hichem Snoussi & Fei Tao. (2021) Digital twin for human-machine interaction with convolutional neural network. International Journal of Computer Integrated Manufacturing 34:7-8, pages 888-897.
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Pak Ki Kwok, Mian Yan, Ting Qu & Henry Y. K. Lau. (2021) User acceptance of virtual reality technology for practicing digital twin-based crisis management. International Journal of Computer Integrated Manufacturing 34:7-8, pages 874-887.
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Jianshan Sun, Zhiqiang Tian, Yelin Fu, Jie Geng & Chunli Liu. (2021) Digital twins in human understanding: a deep learning-based method to recognize personality traits. International Journal of Computer Integrated Manufacturing 34:7-8, pages 860-873.
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Luca Lattanzi, Roberto Raffaeli, Margherita Peruzzini & Marcello Pellicciari. (2021) Digital twin for smart manufacturing: a review of concepts towards a practical industrial implementation. International Journal of Computer Integrated Manufacturing 34:6, pages 567-597.
Read now
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Flavia Dalia Frumosu, Georg Ørnskov Rønsch & Murat Kulahci. (2020) Mould wear-out prediction in the plastic injection moulding industry: a case study. International Journal of Computer Integrated Manufacturing 33:12, pages 1245-1258.
Read now
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Bhagyesh B. Deshmukh, Vijay A. Athavale, Aditya R. Vernekar, Yash R. Katkar, Anirudha K. Jahagirdar, Yash C. Waghmare, Sachin Salunkhe & Sharad Gawade. Development of a digital twin of heat energy storage and retrieval system for performance evaluation through AR-based simulation. Cyber-Physical Systems 0:0, pages 1-16.
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Bhaskar B. Gardas, Angappa Gunasekaran & Vaibhav S. Narwane. Unlocking factors of digital twins for smart manufacturing: a case of emerging economy. International Journal of Computer Integrated Manufacturing 0:0, pages 1-31.
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Articles from other publishers (154)
Jinfeng Liu, Qiukai Ji, Honggen Zhou, Chenxiao Du, Xiaojun Liu & Mingxuan Li. (2024) A multi-dimensional evolution modeling method for digital twin process model. Robotics and Computer-Integrated Manufacturing 86, pages 102667.
Crossref
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Bernardo Nicoletti & Andrea Appolloni. (2024) A framework for digital twins solutions for 5 PL operators. Technology in Society 76, pages 102415.
Crossref
Crossref
Kamel Haddadou & Guy Pujolle. 2024. Cloud and Edge Networking. Cloud and Edge Networking
211
228
.
Wenjuan Wang, Qasim Zaheer, Shi Qiu, Weidong Wang, Chengbo Ai, Jin Wang, Sicheng Wang & Wenbo HuWenjuan Wang, Qasim Zaheer, Shi Qiu, Weidong Wang, Chengbo Ai, Jin Wang, Sicheng Wang & Wenbo Hu. 2024. Digital Twin Technologies in Transportation Infrastructure Management. Digital Twin Technologies in Transportation Infrastructure Management
179
203
.
Alexander Puchta, Marvin Frisch & Jürgen Fleischer. 2024. Production at the Leading Edge of Technology. Production at the Leading Edge of Technology
143
151
.
Chong Chen, Huibin Fu, Yu Zheng, Fei Tao & Ying Liu. (2023) The advance of digital twin for predictive maintenance: The role and function of machine learning. Journal of Manufacturing Systems 71, pages 581-594.
Crossref
Crossref
Alberto Martínez-Gutiérrez, Javier Díez-González, Paula Verde & Hilde Perez. (2023) Convergence of Virtual Reality and Digital Twin technologies to enhance digital operators’ training in industry 4.0. International Journal of Human-Computer Studies 180, pages 103136.
Crossref
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Crossref
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Agus Hasan, Augie Widyotriatmo, Eirik Fagerhaug & Ottar Osen. (2023) Predictive digital twins for autonomous surface vessels. Ocean Engineering 288, pages 116046.
Crossref
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Shitharth Selvarajan, Hariprasath Manoharan, Achyut Shankar, Alaa O. Khadidos, Adil O. Khadidos & Antonino galletta. (2023) PUDT: Plummeting Uncertainties in Digital Twins for Aerospace Applications using Deep Learning Algorithms. Future Generation Computer Systems.
Crossref
Crossref
Chao Yin, YuJie Liu & Xiaobin Li. (2023) Equipment anomaly detection method under cloud-edge collaboration model based bi-directional long short-term memory and variational autoencoder. Equipment anomaly detection method under cloud-edge collaboration model based bi-directional long short-term memory and variational autoencoder.
Zhexin Cui, Xiaolang Yang, Jiguang Yue, Xuemei Liu, Wei Tao, Qian Xia & Chenhao Wu. (2023) A review of digital twin technology for electromechanical products: Evolution focus throughout key lifecycle phases. Journal of Manufacturing Systems 70, pages 264-287.
Crossref
Crossref
Till Böttjer, Daniella Tola, Fatemeh Kakavandi, Christian R. Wewer, Devarajan Ramanujan, Cláudio Gomes, Peter G. Larsen & Alexandros Iosifidis. (2023) A review of unit level digital twin applications in the manufacturing industry. CIRP Journal of Manufacturing Science and Technology 45, pages 162-189.
Crossref
Crossref
Dani Ramdani, Suhono Harso Supangkat, Fadhil Hidayat & Michael Andreas Purwoadi. (2023) Digital Twin Model for Smart Maintenance of Data Center Facilities : Study Literature Review. Digital Twin Model for Smart Maintenance of Data Center Facilities : Study Literature Review.
Xiaoyang Zhu & Yangjian Ji. (2023) A reduced order model based on adaptive proper orthogonal decomposition incorporated with modal coefficient learning for digital twin in process industry. Journal of Manufacturing Processes 102, pages 780-794.
Crossref
Crossref
Elif CESUR, Raşit CESUR & Beyza Nur AYDOĞAN. (2023) CNC TEZGAHLARININ DİJİTAL İKİZ MODELİ İLE KOMUT TAMAMLANMA SÜRELERİNİN TAHMİN EDİLMESİTHE DIGITAL TWIN MODEL OF CNC MACHINES TO ESTIMATE OPERATION COMPLETION TIMES. International Journal of 3D Printing Technologies and Digital Industry 7:2, pages 303-321.
Crossref
Crossref
Andy Wong, Jared Cronin & Enrico Santi. (2023) Digital Twin Approach Enables Switching Converter Adaptive Control for All-Electric Ship Power Distribution System. Digital Twin Approach Enables Switching Converter Adaptive Control for All-Electric Ship Power Distribution System.
Jared CroninEnrico SantiAndrew WunderlichJoshua Knight. (2023) Fast System Level Model for Digital Twin Based Optimization of Naval Power and Energy System. Fast System Level Model for Digital Twin Based Optimization of Naval Power and Energy System.
Ana Wooley, Daniel F. Silva & Julia Bitencourt. (2023) When is a simulation a digital twin? A systematic literature review. Manufacturing Letters 35, pages 940-951.
Crossref
Crossref
Behnam Einabadi, Mehdi Mahmoodjanloo, Armand Baboli & Eva Rother. (2023) Dynamic predictive and preventive maintenance planning with failure risk and opportunistic grouping considerations: A case study in the automotive industry. Journal of Manufacturing Systems 69, pages 292-310.
Crossref
Crossref
Giuseppe De Giacomo, Marco Favorito, Francesco Leotta, Massimo Mecella & Luciana Silo. (2023) Digital twin composition in smart manufacturing via Markov decision processes. Computers in Industry 149, pages 103916.
Crossref
Crossref
Marek Molęda, Bożena Małysiak-Mrozek, Weiping Ding, Vaidy Sunderam & Dariusz Mrozek. (2023) From Corrective to Predictive Maintenance—A Review of Maintenance Approaches for the Power Industry. Sensors 23:13, pages 5970.
Crossref
Crossref
Quanbo Lu & Mei Li. (2023) Digital Twin-Driven Remaining Useful Life Prediction for Rolling Element Bearing. Machines 11:7, pages 678.
Crossref
Crossref
Reza Khoshkangini, Mohsen Tajgardan, Jens Lundström, Mahdi Rabbani & Daniel Tegnered. (2023) A Snapshot-Stacked Ensemble and Optimization Approach for Vehicle Breakdown Prediction. Sensors 23:12, pages 5621.
Crossref
Crossref
Meiling Yue, Khaled Benaggoune, Jianwen Meng & Demba Diallo. (2023) Implementation of an Early Stage Fuel Cell Degradation Prediction Digital Twin Based on Transfer Learning. IEEE Transactions on Transportation Electrification 9:2, pages 3308-3318.
Crossref
Crossref
Foivos Psarommatis, Gökan May & Victor Azamfirei. (2023) Envisioning maintenance 5.0: Insights from a systematic literature review of Industry 4.0 and a proposed framework. Journal of Manufacturing Systems 68, pages 376-399.
Crossref
Crossref
Anis Assad Neto, Elias Ribeiro da Silva, Fernando Deschamps, Laercio Alves do Nascimento Junior & Edson Pinheiro de Lima. (2023) Modeling production disorder: Procedures for digital twins of flexibility-driven manufacturing systems. International Journal of Production Economics 260, pages 108846.
Crossref
Crossref
Bo-Hao Li, Li-Ping Zhao & Yi-Yong Yao. (2022) Multiconditional machining process quality prediction using deep transfer learning network. Advances in Manufacturing 11:2, pages 329-341.
Crossref
Crossref
Andrea Raviola, Roberto Guida, Antonio Carlo Bertolino, Andrea De Martin, Stefano Mauro & Massimo Sorli. (2023) A Comprehensive Multibody Model of a Collaborative Robot to Support Model-Based Health Management. Robotics 12:3, pages 71.
Crossref
Crossref
Kunyu Wang, Lin Zhang, Zidi Jia, Hongbo Cheng, Han Lu & Jin Cui. (2023) A framework and method for equipment digital twin dynamic evolution based on IExATCN. Journal of Intelligent Manufacturing.
Crossref
Crossref
Usman Asad, Madeeha Khan, Azfar Khalid & Waqas Akbar Lughmani. (2023) Human-Centric Digital Twins in Industry: A Comprehensive Review of Enabling Technologies and Implementation Strategies. Sensors 23:8, pages 3938.
Crossref
Crossref
Mohsen Soori, Behrooz Arezoo & Roza Dastres. (2023) Digital twin for smart manufacturing, A review. Sustainable Manufacturing and Service Economics 2, pages 100017.
Crossref
Crossref
Dong Zhong, Zhelei Xia, Yian Zhu & Junhua Duan. (2023) Overview of predictive maintenance based on digital twin technology. Heliyon 9:4, pages e14534.
Crossref
Crossref
Jubo Li, Songlin Wang, Jianjun Yang, Huijie Zhang & Hengbo Zhao. (2023) A Digital Twin-Based State Monitoring Method of Gear Test Bench. Applied Sciences 13:5, pages 3291.
Crossref
Crossref
Raymon van Dinter, Bedir Tekinerdogan & Cagatay Catal. (2023) Reference architecture for digital twin-based predictive maintenance systems. Computers & Industrial Engineering 177, pages 109099.
Crossref
Crossref
Sergio de López Diz, Roberto Martín López, Francisco Javier Rodríguez Sánchez, Edel Díaz Llerena & Emilio José Bueno Peña. (2023) A real-time digital twin approach on three-phase power converters applied to condition monitoring. Applied Energy 334, pages 120606.
Crossref
Crossref
Zelong Song, Huaitao Shi, Xiaotian Bai & Guowei Li. (2022) Digital twin‐assisted fault diagnosis system for robot joints with insufficient data. Journal of Field Robotics 40:2, pages 258-271.
Crossref
Crossref
Nabil El Bazi, Mustapha Mabrouki, Oussama Laayati, Nada Ouhabi, Hicham El Hadraoui, Fatima-Ezzahra Hammouch & Ahmed Chebak. (2023) Generic Multi-Layered Digital-Twin-Framework-Enabled Asset Lifecycle Management for the Sustainable Mining Industry. Sustainability 15:4, pages 3470.
Crossref
Crossref
Xuan Liu, He Gan, Ying Luo, Yangquan Chen & Liang Gao. (2023) Digital-Twin-Based Real-Time Optimization for a Fractional Order Controller for Industrial Robots. Fractal and Fractional 7:2, pages 167.
Crossref
Crossref
A. Mazumder, M.F. Sahed, Z. Tasneem, P. Das, F.R. Badal, M.F. Ali, M.H. Ahamed, S.H. Abhi, S.K. Sarker, S.K. Das, M.M. Hasan, M.M. Islam & M.R. Islam. (2023) Towards next generation digital twin in robotics: Trends, scopes, challenges, and future. Heliyon 9:2, pages e13359.
Crossref
Crossref
Wenyang Hu, Tianyang Wang & Fulei Chu. (2023) A Wasserstein generative digital twin model in health monitoring of rotating machines. Computers in Industry 145, pages 103807.
Crossref
Crossref
George Dyck, Eric Hawley, Kurt Hildebrand & Jitendra Paliwal. (2023) Digital Twins: A novel traceability concept for post-harvest handling. Smart Agricultural Technology 3, pages 100079.
Crossref
Crossref
Haochen Liu, Yifan Zhao, Anna Zaporowska & Zakwan Skaf. (2021) A machine learning-based clustering approach to diagnose multi-component degradation of aircraft fuel systems. Neural Computing and Applications 35:4, pages 2973-2989.
Crossref
Crossref
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Hansong Xu, Jun Wu, Qianqian Pan, Xinping Guan & Mohsen Guizani. (2023) A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools. IEEE Communications Surveys & Tutorials 25:4, pages 2569-2598.
Crossref
Crossref
Tobias Harries, Matthew Hartnoll, Mohammadmilad Hafezianrazavi, Harry Meek & Aydin Nassehi. (2023) Digital Twins for Predictive Maintenance. Procedia CIRP 118, pages 306-311.
Crossref
Crossref
Xinxiang Ji & Shiva Abdoli. (2023) Challenges and Opportunities in Product Life Cycle Management in the Context of Industry 4.0. Procedia CIRP 119, pages 29-34.
Crossref
Crossref
Marvin Carl May, Louis Schäfer, Alex Frey, Carmen Krahe & Gisela Lanza. (2023) Towards Product-Production-CoDesign for the Production of the Future. Procedia CIRP 119, pages 944-949.
Crossref
Crossref
Shiva Abdoli & Bahador Bahramimianrood. (2023) A target-driven framework for assessing the effectiveness of product-service-system development approaches at System of Systems level. Procedia CIRP 119, pages 229-234.
Crossref
Crossref
Xin Liu, Du Jiang, Bo Tao, Feng Xiang, Guozhang Jiang, Ying Sun, Jianyi Kong & Gongfa Li. (2023) A systematic review of digital twin about physical entities, virtual models, twin data, and applications. Advanced Engineering Informatics 55, pages 101876.
Crossref
Crossref
B. Sivathanu Kumar, A. Aravindraj, T. A. S. Sakthi Priya, Sri Nihanth, Dhanalakshmi Bharati & N. Mohankumar. 2023. Proceedings of Third International Conference on Sustainable Expert Systems. Proceedings of Third International Conference on Sustainable Expert Systems
57
70
.
Zengxu Bian, Zhibo Wan, Feiyu Li, Dejun Liu & Zhihan Lyu. 2023. Pattern Recognition. Pattern Recognition
174
184
.
Giulia Bruno & Khurshid Aliev. 2023. Towards a Smart, Resilient and Sustainable Industry. Towards a Smart, Resilient and Sustainable Industry
145
154
.
Evgeniy Kozin. 2023. Digital Transformation in Industry. Digital Transformation in Industry
239
252
.
George Chryssolouris, Kosmas Alexopoulos & Zoi ArkouliGeorge Chryssolouris, Kosmas Alexopoulos & Zoi Arkouli. 2023. A Perspective on Artificial Intelligence in Manufacturing. A Perspective on Artificial Intelligence in Manufacturing
79
135
.
Pascal Lünnemann, Carina Fresemann & Friederike Richter. 2023. The Digital Twin. The Digital Twin
661
675
.
Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz. 2023. Innovations in Mechanical Engineering II. Innovations in Mechanical Engineering II
68
79
.
Xinquan Liang, Rui Xiao & Jingbing Zhang. (2022) A Review on Digital Twin for Robotics in Smart Manufacturing. A Review on Digital Twin for Robotics in Smart Manufacturing.
XiaoMing Fan, JiaQi Zhang, ChengZhi Jiang, Jiang Li, HanTian Gu, MaoGong Jiang, BoHan Li, Hao Hu & ChengXi Liu. (2022) An Online Remaining Life Prediction Method Based on Nonlinear Degradation Model of Equipment Electronic System. An Online Remaining Life Prediction Method Based on Nonlinear Degradation Model of Equipment Electronic System.
Bogdan Dorneanu, Sushen Zhang, Hang Ruan, Mohamed Heshmat, Ruijuan Chen, Vassilios S. Vassiliadis & Harvey Arellano-Garcia. (2022) Big data and machine learning: A roadmap towards smart plants. Frontiers of Engineering Management 9:4, pages 623-639.
Crossref
Crossref
Yu-Hsin Hung. (2022) Developing an Improved Ensemble Learning Approach for Predictive Maintenance in the Textile Manufacturing Process. Sensors 22:23, pages 9065.
Crossref
Crossref
Felix Neuburger, Joachim Arens, Matthias Vollmer, Thomas Kopinski & Matthias Hermes. (2022) Coupled Finite-Element-Method-Simulations for Real-Time-Process Monitoring in Metal Forming Digital-Twins. Coupled Finite-Element-Method-Simulations for Real-Time-Process Monitoring in Metal Forming Digital-Twins.
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Crossref
Crossref
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Crossref
Crossref
Jovani Dalzochio, Rafael Kunst, Jorge Luis Victória Barbosa, Henrique Damasceno Vianna, Gabriel de Oliveira Ramos, Edison Pignaton, Alecio Binotto & Jose Favilla. (2022) ELFpm: A machine learning framework for industrial machines prediction of remaining useful life. Neurocomputing 512, pages 420-442.
Crossref
Crossref
Raymon van Dinter, Bedir Tekinerdogan & Cagatay Catal. (2022) Predictive maintenance using digital twins: A systematic literature review. Information and Software Technology 151, pages 107008.
Crossref
Crossref
Hong Xiao, Ping Li, Hanlin Zeng, Tiancai Liang, Wenchao Jiang & Zhiming Zhao. (2022) Metric learning‐based whole health indicator model for industrial robots. International Journal of Intelligent Systems 37:11, pages 9508-9519.
Crossref
Crossref
Xuan Liu & Ying Luo. (2022) Analytical Design of Optimal Fractional Order PID Control for Industrial Robot based on Digital Twin. Analytical Design of Optimal Fractional Order PID Control for Industrial Robot based on Digital Twin.
Furkan Guc & YangQuan Chen. (2022) Smart Predictive Maintenance Enabled by Digital Twins and Smart Big Data: A New Framework. Smart Predictive Maintenance Enabled by Digital Twins and Smart Big Data: A New Framework.
Lin Huang, Li Gong, Yutao Chen, Dongliang Li & Guoqing Zhu. (2022) Trajectory Similarity Matching and Remaining Useful Life Prediction Based on Dynamic Time Warping. Mathematical Problems in Engineering 2022, pages 1-15.
Crossref
Crossref
Hossein Hassani, Xu Huang & Steve MacFeely. (2022) Enabling Digital Twins to Support the UN SDGs. Big Data and Cognitive Computing 6:4, pages 115.
Crossref
Crossref
Xuhui Zhang, Xin Chen, Wenjuan Yang & Jiashan Ju. (2022) Research on Predictive Maintenance Methods of Shearer Hydraulic System Based on Digital Twin. Research on Predictive Maintenance Methods of Shearer Hydraulic System Based on Digital Twin.
Casey R. Corrado, Suzanne M. DeLong, Emily G. Holt, Edward Y. Hua & Andreas Tolk. (2022) Combining Green Metrics and Digital Twins for Sustainability Planning and Governance of Smart Buildings and Cities. Sustainability 14:20, pages 12988.
Crossref
Crossref
Ding Zhang, Jiewu Leng, Min Xie, Hong Yan & Qiang Liu. (2022) Digital twin enabled optimal reconfiguration of the semi-automatic electronic assembly line with frequent changeovers. Robotics and Computer-Integrated Manufacturing 77, pages 102343.
Crossref
Crossref
Jinfeng Liu, Xiaojian Wen, Honggen Zhou, Sushan Sheng, Peng Zhao, Xiaojun Liu, Chao Kang & Yu Chen. (2022) Digital twin-enabled machining process modeling. Advanced Engineering Informatics 54, pages 101737.
Crossref
Crossref
Javier Conde, Andres Munoz-Arcentales, Mario Romero, Javier Rojo, Joaquín Salvachúa, Gabriel Huecas & Álvaro Alonso. (2022) Applying digital twins for the management of information in turnaround event operations in commercial airports. Advanced Engineering Informatics 54, pages 101723.
Crossref
Crossref
Rodrigo Ferraz, Fabio Rodrigues Gonçalves Da Silva, Carlos Eduardo Fontes, Bruno Alexandre Contessi, Luiz Antonio Campagnac & Ismael Lis Alves Daoud. (2022) Simulation-based digital twin for predictive maintenace. Rio Oil and Gas Expo and Conference 22:2022, pages 315-316.
Crossref
Crossref
Chih-Hsuan Wang & Ji-Yu Liu. (2022) Integrating Feature Engineering with Deep Learning to Conduct Diagnostic and Predictive Analytics for Turbofan Engines. Mathematical Problems in Engineering 2022, pages 1-14.
Crossref
Crossref
Daniella Tola, Till Bottjer, Peter Gorm Larsen & Lukas Esterle. (2022) Towards Modular Digital Twins of Robot Systems. Towards Modular Digital Twins of Robot Systems.
Wolfgang Birk, Roland Hostettler, Maryam Razi, Khalid Atta & Rasmus Tammia. (2022) Automatic generation and updating of process industrial digital twins for estimation and control - A review. Frontiers in Control Engineering 3.
Crossref
Crossref
Wolfgang Heindl & Christian Stary. (2022) Structured Development of Digital Twins—A Cross-Domain Analysis towards a Unified Approach. Processes 10:8, pages 1490.
Crossref
Crossref
Yanfang Fu, Dengdeng Guo, Qiang Li, Liangxin Liu, Shaochun Qu & Wei Xiang. (2022) Digital Twin Based Network Latency Prediction in Vehicular Networks. Electronics 11:14, pages 2217.
Crossref
Crossref
Luca Bernini, David Waltz, Paolo Albertelli & Michele Monno. (2021) A novel prognostics solution for machine tool sub-units: The hydraulic case. Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture 236:9, pages 1199-1215.
Crossref
Crossref
Tang Ji, Huiyue Huang & Xun Xu. (2022) Digital Twin Technology — A bibliometric study of top research articles based on Local Citation Score. Journal of Manufacturing Systems 64, pages 390-408.
Crossref
Crossref
Chris J Turner & Wolfgang Garn. (2022) Next generation DES simulation: A research agenda for human centric manufacturing systems. Journal of Industrial Information Integration 28, pages 100354.
Crossref
Crossref
Zhen Liu, QingLei Zhang, Jianguo Duan & Dong Liu. (2022) Digital twin–based testing process management for large and complex equipment components. The International Journal of Advanced Manufacturing Technology 121:5-6, pages 3143-3161.
Crossref
Crossref
Hong-Bae Jun. (2022) A Review on the Advanced Maintenance Approach for Achieving the Zero-Defect Manufacturing System. Frontiers in Manufacturing Technology 2.
Crossref
Crossref
Lei Dong, Xiaojian Wen, Sushan Sheng, Zhanghui Yan & Jinfeng Liu. (2022) Research on the Modeling Method of Mould Bed Twin for Ship Segment Construction. Research on the Modeling Method of Mould Bed Twin for Ship Segment Construction.
Celalettin Yüce, Ozhan Gecgel, Oğuz Doğan, Shweta Dabetwar, Yasar Yanik, Onur Can Kalay, Esin Karpat, Fatih Karpat & Stephen Ekwaro-Osire. (2022) Prognostics and Health Management of Wind Energy Infrastructure Systems. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part B: Mechanical Engineering 8:2.
Crossref
Crossref
Joanna Helman. (2022) Digital Twin-driven approach towards manufacturing processes support. Journal of Physics: Conference Series 2198:1, pages 012007.
Crossref
Crossref
Jianfeng Zhao, Haibo Feng, Qian Chen & Borja Garcia de Soto. (2022) Developing a conceptual framework for the application of digital twin technologies to revamp building operation and maintenance processes. Journal of Building Engineering 49, pages 104028.
Crossref
Crossref
Ioannis T. Christou, Nikos Kefalakis, John K. Soldatos & Angela-Maria Despotopoulou. (2022) End-to-end industrial IoT platform for Quality 4.0 applications. Computers in Industry 137, pages 103591.
Crossref
Crossref
Qiushi Cao, Cecilia Zanni-Merk, Ahmed Samet, Christoph Reich, François de Bertrand de Beuvron, Arnold Beckmann & Cinzia Giannetti. (2022) KSPMI: A Knowledge-based System for Predictive Maintenance in Industry 4.0. Robotics and Computer-Integrated Manufacturing 74, pages 102281.
Crossref
Crossref
Peng Zhang, Shaohan Chen, Boyuan Zhao & Zifeng Nie. (2022) Research on Decision Making of Design for Coupling System Based on Complexity Composite. Processes 10:3, pages 542.
Crossref
Crossref
Małgorzata Gulewicz. (2022) Digital twin technology — awareness, implementation problems and benefits. Engineering Management in Production and Services 14:1, pages 63-77.
Crossref
Crossref
Sachin S Kamble, Angappa Gunasekaran, Harsh Parekh, Venkatesh Mani, Amine Belhadi & Rohit Sharma. (2022) Digital twin for sustainable manufacturing supply chains: Current trends, future perspectives, and an implementation framework. Technological Forecasting and Social Change 176, pages 121448.
Crossref
Crossref
Fredrick Mumali. (2022) Artificial neural network-based decision support systems in manufacturing processes: A systematic literature review. Computers & Industrial Engineering 165, pages 107964.
Crossref
Crossref
Sunday Ochella, Mahmood Shafiee & Fateme Dinmohammadi. (2022) Artificial intelligence in prognostics and health management of engineering systems. Engineering Applications of Artificial Intelligence 108, pages 104552.
Crossref
Crossref
Yingchao You, Chong Chen, Fu Hu, Ying Liu & Ze Ji. (2022) Advances of Digital Twins for Predictive Maintenance. Procedia Computer Science 200, pages 1471-1480.
Crossref
Crossref
Raffaele Abbate, Mario Caterino, Marcello Fera & Francesco Caputo. (2022) Maintenance Digital Twin using vibration data. Procedia Computer Science 200, pages 546-555.
Crossref
Crossref
He Zhang, Qinglin Qi & Fei Tao. (2022) A multi-scale modeling method for digital twin shop-floor. Journal of Manufacturing Systems 62, pages 417-428.
Crossref
Crossref
Andrew E. Bondoc, Mohsen Tayefeh & Ahmad Barari. (2022) LIVE Digital Twin: Developing a Sensor Network to Monitor the Health of Belt Conveyor System. IFAC-PapersOnLine 55:19, pages 49-54.
Crossref
Crossref
Andrew E. Bondoc, Mohsen Tayefeh & Ahmad Barari. (2022) Employing LIVE Digital Twin in Prognostic and Health Management: Identifying Location of the Sensors. IFAC-PapersOnLine 55:2, pages 138-143.
Crossref
Crossref
Panagiotis Stavropoulos & Dimitris Mourtzis. 2022. Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology. Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology
277
316
.
Pedro Pecora, Fernando Feijoo Garcia, Victória Melo, Paulo Leitão & Umberto Pellegri. 2022. Optimization, Learning Algorithms and Applications. Optimization, Learning Algorithms and Applications
729
743
.
Arindam Chaudhuri, Rajesh Patil & Soumya K. Ghosh. 2022. Big Data Privacy and Security in Smart Cities. Big Data Privacy and Security in Smart Cities
103
118
.
Eman H. Alkhammash, Wahiba ben Abdessalem Karaa, Nesrine Bhouri, Saber Ben Abdessalem & Aboul Ella Hassanien. 2022. Digital Twins for Digital Transformation: Innovation in Industry. Digital Twins for Digital Transformation: Innovation in Industry
171
186
.
Perin Unal, Özlem Albayrak, Moez Jomâa & Arne J. Berre. 2022. Technologies and Applications for Big Data Value. Technologies and Applications for Big Data Value
299
319
.
Yoo Ho Son, Goo-Young Kim, Hyeon Chan Kim, Chanmo Jun & Sang Do Noh. (2022) Past, present, and future research of digital twin for smart manufacturing. Journal of Computational Design and Engineering 9:1, pages 1-23.
Crossref
Crossref
E Reshetnikova, P Bochkarev & G Gumarov. (2021) Digital transformation of machining workshop’s manufacturing system. Journal of Physics: Conference Series 2131:3, pages 032099.
Crossref
Crossref
P. Aivaliotis, Z. Arkouli, K. Georgoulias & S. Makris. (2021) Degradation curves integration in physics-based models: Towards the predictive maintenance of industrial robots. Robotics and Computer-Integrated Manufacturing 71, pages 102177.
Crossref
Crossref
Xiaojing Niu & Shengfeng Qin. (2021) Integrating crowd-/service-sourcing into digital twin for advanced manufacturing service innovation. Advanced Engineering Informatics 50, pages 101422.
Crossref
Crossref
Jyrki Savolainen & Michele Urbani. (2021) Maintenance optimization for a multi-unit system with digital twin simulation. Journal of Intelligent Manufacturing 32:7, pages 1953-1973.
Crossref
Crossref
Ziqi Huang, Yang Shen, Jiayi Li, Marcel Fey & Christian Brecher. (2021) A Survey on AI-Driven Digital Twins in Industry 4.0: Smart Manufacturing and Advanced Robotics. Sensors 21:19, pages 6340.
Crossref
Crossref
Şahan Yoruç Selçuk, Perin Ünal, Özlem Albayrak & Moez Jomâa. (2021) A Workflow for Synthetic Data Generation and Predictive Maintenance for Vibration Data. Information 12:10, pages 386.
Crossref
Crossref
Georgios Falekas & Athanasios Karlis. (2021) Digital Twin in Electrical Machine Control and Predictive Maintenance: State-of-the-Art and Future Prospects. Energies 14:18, pages 5933.
Crossref
Crossref
Katharina Bartsch, Alexander Pettke, Artur Hübert, Julia Lakämper & Fritz Lange. (2021) On the digital twin application and the role of artificial intelligence in additive manufacturing: a systematic review. Journal of Physics: Materials 4:3, pages 032005.
Crossref
Crossref
Ding Zhang, Min Xie, Hong Yan & Qiang Liu. (2021) Resilience dynamics modeling and control for a reconfigurable electronic assembly line under spatio-temporal disruptions. Journal of Manufacturing Systems 60, pages 852-863.
Crossref
Crossref
Yanglong Lu, Eduard Shevtshenko & Yan Wang. (2021) Physics-Based Compressive Sensing to Enable Digital Twins of Additive Manufacturing Processes. Journal of Computing and Information Science in Engineering 21:3.
Crossref
Crossref
Xiao Han, Zili Wang, Min Xie, Yihai He, Yao Li & Wenzhuo Wang. (2021) Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence. Reliability Engineering & System Safety 210, pages 107560.
Crossref
Crossref
Minglan Xiong, Huawei Wang, Qiang Fu & Yi Xu. (2021) Digital twin–driven aero-engine intelligent predictive maintenance. The International Journal of Advanced Manufacturing Technology 114:11-12, pages 3751-3761.
Crossref
Crossref
Prathamesh S. Desai, Victoria Granja & C. Fred HiggsIIIIII. (2021) Lifetime Prediction Using a Tribology-Aware, Deep Learning-Based Digital Twin of Ball Bearing-Like Tribosystems in Oil and Gas. Processes 9:6, pages 922.
Crossref
Crossref
WU Wen-hao, Chen Guo-bing & Yang Zi-chun. (2021) The Application and challenge of Digital Twin technology in Ship equipment. Journal of Physics: Conference Series 1939:1, pages 012068.
Crossref
Crossref
Chunlong Wu, Tao Chen, Zibiao Li & Wei Liu. (2021) A function-oriented optimising approach for smart product service systems at the conceptual design stage: A perspective from the digital twin framework. Journal of Cleaner Production 297, pages 126597.
Crossref
Crossref
Haoqi Wang, Hao Li, Xiaoyu Wen & Guofu Luo. (2021) Unified modeling for digital twin of a knowledge-based system design. Robotics and Computer-Integrated Manufacturing 68, pages 102074.
Crossref
Crossref
Gabriel Fedorko, Vieroslav Molnár, Martin Vasiľ & Roland Salai. (2021) Proposal of digital twin for testing and measuring of transport belts for pipe conveyors within the concept Industry 4.0. Measurement 174, pages 108978.
Crossref
Crossref
Bin He, Tengyu Li & Jinglong Xiao. (2021) Digital twin-driven controller tuning method for dynamics. Journal of Computing and Information Science in Engineering, pages 1-27.
Crossref
Crossref
Tsega Y. Melesse, Valentina Di Pasquale & Stefano Riemma. (2021) Digital Twin models in industrial operations: State‐of‐the‐art and future research directions. IET Collaborative Intelligent Manufacturing 3:1, pages 37-47.
Crossref
Crossref
Anicia Zeberli, Sara Badr, Christian Siegmund, Markus Mattern & Hirokazu Sugiyama. (2021) Data-driven anomaly detection and diagnostics for changeover processes in biopharmaceutical drug product manufacturing. Chemical Engineering Research and Design 167, pages 53-62.
Crossref
Crossref
Xanthi Bampoula, Georgios Siaterlis, Nikolaos Nikolakis & Kosmas Alexopoulos. (2021) A Deep Learning Model for Predictive Maintenance in Cyber-Physical Production Systems Using LSTM Autoencoders. Sensors 21:3, pages 972.
Crossref
Crossref
Unai Izagirre, Imanol Andonegui, Luka Eciolaza & Urko Zurutuza. (2021) Towards manufacturing robotics accuracy degradation assessment: A vision-based data-driven implementation. Robotics and Computer-Integrated Manufacturing 67, pages 102029.
Crossref
Crossref
Scott C. James & Brian Hale. (2021) What Do Virtual V&V and Digital Twins Have in Common?. What Do Virtual V&V and Digital Twins Have in Common?.
Sameer Sayyad, Satish Kumar, Arunkumar Bongale, Pooja Kamat, Shruti Patil & Ketan Kotecha. (2021) Data-Driven Remaining Useful Life Estimation for Milling Process: Sensors, Algorithms, Datasets, and Future Directions. IEEE Access 9, pages 110255-110286.
Crossref
Crossref
Changchun Liu, Dunbing Tang, Haihua Zhu & Qingwei Nie. (2021) A Novel Predictive Maintenance Method Based on Deep Adversarial Learning in the Intelligent Manufacturing System. IEEE Access 9, pages 49557-49575.
Crossref
Crossref
Anis Assad Neto, Bruna Sprea Carrijo, João Guilherme Romanzini Brock, Fernando Deschamps & Edson Pinheiro de Lima. (2021) Digital twin-driven decision support system for opportunistic preventive maintenance scheduling in manufacturing. Procedia Manufacturing 55, pages 439-446.
Crossref
Crossref
Dimitris Mourtzis, John Angelopoulos & Nikos Panopoulos. (2021) Equipment Design Optimization Based on Digital Twin Under the Framework of Zero-Defect Manufacturing. Procedia Computer Science 180, pages 525-533.
Crossref
Crossref
Georgios Siaterlis, Marco Franke, Konstantin Klein, Karl A. Hribernik, Klaus-Dieter Thoben, Vasilios Siatras, Nikolaos Nikolakis, Pierluigi Petrali & Kosmas Alexopoulos. (2021) A framework for advanced visualization of predictive analytics in cyber-physical production systems. Procedia CIRP 104, pages 1565-1570.
Crossref
Crossref
P. Aivaliotis, Z. Arkouli, D. Kaliakatsos-Georgopoulos & S. Makris. (2021) Prediction assessment methodology for maintenance applications in manufacturing. Procedia CIRP 104, pages 1494-1499.
Crossref
Crossref
Christian Dalheim Øien & Sebastian Dransfeld. (2021) An approach to data structuring and predictive analysis in discrete manufacturing. Procedia CIRP 104, pages 1334-1338.
Crossref
Crossref
Dionisis Andronas, George Kokotinis & Sotiris Makris. (2021) On modelling and handling of flexible materials: A review on Digital Twins and planning systems. Procedia CIRP 97, pages 447-452.
Crossref
Crossref
Abolfazl Rezaei Aderiani, Kristina Wärmefjord & Rikard Söderberg. (2021) Combining selective assembly and individualized locator adjustments techniques in a smart assembly line. Procedia CIRP 97, pages 429-434.
Crossref
Crossref
Anis Assad Neto, Elias Ribeiro da Silva, Fernando Deschamps & Edson Pinheiro de Lima. (2021) Digital twins in manufacturing: An assessment of key features. Procedia CIRP 97, pages 178-183.
Crossref
Crossref
Nima Geran Malek, Mohsen Tayefeh, Dylan Bender & Ahmad Barari. (2021) LIVE Digital Twin for Smart Maintenance in Structural Systems. IFAC-PapersOnLine 54:1, pages 1047-1052.
Crossref
Crossref
Izabela Rojek, Dariusz Mikołajewski & Ewa Dostatni. (2020) Digital Twins in Product Lifecycle for Sustainability in Manufacturing and Maintenance. Applied Sciences 11:1, pages 31.
Crossref
Crossref
Itxaro Errandonea, Sergio Beltrán & Saioa Arrizabalaga. (2020) Digital Twin for maintenance: A literature review. Computers in Industry 123, pages 103316.
Crossref
Crossref
Jay Lee, Jun Ni, Jaskaran Singh, Baoyang Jiang, Moslem Azamfar & Jianshe Feng. (2020) Intelligent Maintenance Systems and Predictive Manufacturing. Journal of Manufacturing Science and Engineering 142:11.
Crossref
Crossref
Salvatore Cavalieri & Marco Giuseppe Salafia. (2020) A Model for Predictive Maintenance Based on Asset Administration Shell. Sensors 20:21, pages 6028.
Crossref
Crossref
Morad Danishvar, Veerendra C. Angadi & Alireza Mousavi. (2020) A PdM Framework Through the Event-based Genomics of Machine Breakdown. A PdM Framework Through the Event-based Genomics of Machine Breakdown.
Alice Consilvio, José Solís-Hernández, Noemi Jiménez-Redondo, Paolo Sanetti, Federico Papa & Iñigo Mingolarra-Garaizar. (2020) On Applying Machine Learning and Simulative Approaches to Railway Asset Management: The Earthworks and Track Circuits Case Studies. Sustainability 12:6, pages 2544.
Crossref
Crossref
James Moyne, Yassine Qamsane, Efe C. Balta, Ilya Kovalenko, John Faris, Kira Barton & Dawn M. Tilbury. (2020) A Requirements Driven Digital Twin Framework: Specification and Opportunities. IEEE Access 8, pages 107781-107801.
Crossref
Crossref
Anis Assad Neto, Fernando Deschamps, Elias Ribeiro da Silva & Edson Pinheiro de Lima. (2020) Digital twins in manufacturing: an assessment of drivers, enablers and barriers to implementation. Procedia CIRP 93, pages 210-215.
Crossref
Crossref
Ananda Chakraborti, Arttu Heininen, Kari T. Koskinen & Ville Lämsä. (2020) Digital Twin: Multi-dimensional Model Reduction Method for Performance Optimization of the Virtual Entity. Procedia CIRP 93, pages 240-245.
Crossref
Crossref
P. Aivaliotis, E. Xanthakis & A. Sardelis. (2020) Machines’ Behaviour Prediction Tool (BPT) for maintenance applications. IFAC-PapersOnLine 53:3, pages 325-329.
Crossref
Crossref
M. Surico, R. Ricatto, A. Merlo, I. Németh, A. Sardelis, M. Villoslada, E. Montejo, N. Frenkel, P. Aivaliotis, I.M. de la Pera Celada, J. Sidiropoulos, A. Eytan, A. Papavasileiou & F. Aggogeri. (2020) PROGRAMS project approach to maintenance management. IFAC-PapersOnLine 53:3, pages 313-318.
Crossref
Crossref