标题
Digital twin paradigm: A systematic literature review
作者
关键词
Digital twin, Industry 4.0, Cyber-physical systems, Predictive manufacturing
出版物
COMPUTERS IN INDUSTRY
Volume 130, Issue -, Pages 103469
出版商
Elsevier BV
发表日期
2021-05-11
DOI
10.1016/j.compind.2021.103469
参考文献
相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。- Characterising the Digital Twin: A systematic literature review
- (2020) David Jones et al. CIRP Journal of Manufacturing Science and Technology
- Towards a semantic Construction Digital Twin: Directions for future research
- (2020) Calin Boje et al. AUTOMATION IN CONSTRUCTION
- Peeking into the void: Digital twins for construction site logistics
- (2020) Toni Greif et al. COMPUTERS IN INDUSTRY
- Digital technologies in product-service systems: a literature review and a research agenda
- (2020) Fabiana Pirola et al. COMPUTERS IN INDUSTRY
- File- and API-based interoperability of digital twins by model transformation: An IIoT case study using asset administration shell
- (2020) Marie Platenius-Mohr et al. Future Generation Computer Systems-The International Journal of eScience
- Challenges for the cyber-physical manufacturing enterprises of the future
- (2019) Hervé Panetto et al. ANNUAL REVIEWS IN CONTROL
- Design and implementation of a digital twin application for a connected micro smart factory
- (2019) Kyu Tae Park et al. INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING
- Digital Twins and Cyber–Physical Systems toward Smart Manufacturing and Industry 4.0: Correlation and Comparison
- (2019) Fei Tao et al. Engineering
- Digital transformation of manufacturing through cloud services and resource virtualization
- (2019) Theodor Borangiu et al. COMPUTERS IN INDUSTRY
- Building a digital twin for additive manufacturing through the exploitation of blockchain: A case analysis of the aircraft industry
- (2019) Claudio Mandolla et al. COMPUTERS IN INDUSTRY
- Review of digital twin applications in manufacturing
- (2019) Chiara Cimino et al. COMPUTERS IN INDUSTRY
- Digital twin driven prognostics and health management for complex equipment
- (2018) Fei Tao et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Experimentable Digital Twins—Streamlining Simulation-Based Systems Engineering for Industry 4.0
- (2018) Michael Schluse et al. IEEE Transactions on Industrial Informatics
- Digital twin-based smart production management and control framework for the complex product assembly shop-floor
- (2018) Cunbo Zhuang et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison
- (2018) Qinglin Qi et al. IEEE Access
- Digital twin-driven manufacturing cyber-physical system for parallel controlling of smart workshop
- (2018) Jiewu Leng et al. Journal of Ambient Intelligence and Humanized Computing
- Digital Twins in Health Care: Ethical Implications of an Emerging Engineering Paradigm
- (2018) Koen Bruynseels et al. Frontiers in Genetics
- Enabling Technologies for Operator 4.0: A Survey
- (2018) Tamás Ruppert et al. Applied Sciences-Basel
- An approach to support Industry 4.0 adoption in SMEs using a core-metamodel
- (2018) Michele Dassisti et al. ANNUAL REVIEWS IN CONTROL
- Digital twin-driven product design, manufacturing and service with big data
- (2017) Fei Tao et al. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY
- Manufacturing data analytics using a virtual factory representation
- (2017) Sanjay Jain et al. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- Smart manufacturing
- (2017) Andrew Kusiak INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH
- A framework for Big Data driven product lifecycle management
- (2017) Yingfeng Zhang et al. JOURNAL OF CLEANER PRODUCTION
- Smart manufacturing based on cyber-physical systems and beyond
- (2017) Xifan Yao et al. JOURNAL OF INTELLIGENT MANUFACTURING
- C2PS: A Digital Twin Architecture Reference Model for the Cloud-Based Cyber-Physical Systems
- (2017) Kazi Masudul Alam et al. IEEE Access
- A Digital Twin-Based Approach for Designing and Multi-Objective Optimization of Hollow Glass Production Line
- (2017) Hao Zhang et al. IEEE Access
- Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing
- (2017) Fei Tao et al. IEEE Access
- Bridging data-driven and model-based approaches for process fault diagnosis and health monitoring: A review of researches and future challenges
- (2016) Khaoula Tidriri et al. ANNUAL REVIEWS IN CONTROL
- Cyber-physical systems in manufacturing
- (2016) L. Monostori et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Visual Computing as a Key Enabling Technology for Industrie 4.0 and Industrial Internet
- (2015) Jorge Posada et al. IEEE COMPUTER GRAPHICS AND APPLICATIONS
- Industrie 4.0: Hit or Hype? [Industry Forum]
- (2014) Rainer Drath et al. IEEE Industrial Electronics Magazine
- Internet of Things in Industries: A Survey
- (2014) Li Da Xu et al. IEEE Transactions on Industrial Informatics
- A Survey of Clustering Algorithms for Big Data: Taxonomy and Empirical Analysis
- (2014) Adil Fahad et al. IEEE Transactions on Emerging Topics in Computing
- Scalability in manufacturing systems design and operation: State-of-the-art and future developments roadmap
- (2013) G. Putnik et al. CIRP ANNALS-MANUFACTURING TECHNOLOGY
- Internet of Things (IoT): A vision, architectural elements, and future directions
- (2013) Jayavardhana Gubbi et al. Future Generation Computer Systems-The International Journal of eScience
- Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications
- (2013) Jay Lee et al. MECHANICAL SYSTEMS AND SIGNAL PROCESSING
- Life Cycle Simulation for the design of Product–Service Systems
- (2012) Marco Garetti et al. COMPUTERS IN INDUSTRY
- Reengineering Aircraft Structural Life Prediction Using a Digital Twin
- (2011) Eric J. Tuegel et al. International Journal of Aerospace Engineering
- The Internet of Things: A survey
- (2010) Luigi Atzori et al. Computer Networks
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search