An application framework of digital twin and its case study

By Yu Zheng, Sen Yang, Huanchong Cheng. Journal of Ambient Intelligence and Humanized Computing, 2018

501 citations recorded by the source corpus.

Subfields: Industrial and Manufacturing Engineering, Safety, Risk, Reliability and Quality

View Paper: https://www.semanticscholar.org/paper/520d69ad28811a65558fc57a9cce30bf8a3ff46c

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Industrial and Manufacturing Engineering

1. Yuqian Lu
2. Pai Zheng
3. Kendrik Yan Hong Lim
4. Zhong Fan
5. Xun Xu
6. Aidan Fuller
7. Charles Day
8. Kevin I-Kai Wang

In Safety, Risk, Reliability and Quality

1. Kendrik Yan Hong Lim
2. Zhong Fan
3. Aidan Fuller
4. Charles Day
5. Pai Zheng
6. Chun-Hsien Chen

Citations in the corpus

• A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives (2019, methodology): “Zheng et al. (2018c) introduced parametric virtual modeling and construction flow of DT application subsystems to fulfilled the case of a welding production line.”
• Characterising the Digital Twin: A systematic literature review (2020, unknown): “5 Fidelity [33] [80] [108] [24] [85] [8] [56] [88] [68] [112] [99] [78] [32] [111] [36] [7] [71] [63] [61] [73] [20] [67] [6] [4] [48] [55] [95] [16] [92] [98] [87] [9] [66] [110] [18] [89] [12]”
• Digital Twin-driven smart manufacturing: Connotation, reference model, applications and research issues (2020, methodology): “[59] Welding production line CAD model + OPC-UA OPC-UA Digital Twin for product life cycle management”
• The Role of AI, Machine Learning, and Big Data in Digital Twinning: A Systematic Literature Review, Challenges, and Opportunities (2021, background): “IoT devices facilitate the real-time data collection—that is necessary for the creation of a digital twin of the physical component [77], [78]—and enable the optimization [79] and maintenance [80] of the physical component by linking the physical environment to its virtual image (using sensors and…”
• Digital Twin: Enabling Technologies, Challenges and Open Research (2020, background): “…to operational changes based on the collected online data and information, and can forecast the future of the corresponding physical counterpart.” d) Zheng et al. 2018 [8] “A Digital Twin is a set of virtual information that fully describes a potential or actual physical production from the…”