A Framework on Equipment Digital Twin Credibility Assessment

Authors

Han Lu, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; Engineering Research Center of Complex Product Advanced Manufacturing System, Beijing 100191, ChinaFollow
Lin Zhang, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; Engineering Research Center of Complex Product Advanced Manufacturing System, Beijing 100191, ChinaFollow
Kunyu Wang, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; Engineering Research Center of Complex Product Advanced Manufacturing System, Beijing 100191, China
Zejun Huang, School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China; Engineering Research Center of Complex Product Advanced Manufacturing System, Beijing 100191, China

Abstract

Abstract: A key bottleneck in the large-scale application of equipment digital twin is the lack of systematic and effective credibility assessment methods. This paper analyzes the dynamic evolution, virtual-real interactivity and other key features of the equipment digital twin. A credibility assessment framework for the equipment digital twin is proposed, including the credibility connotation of the digital twin, a multi-dimensional and multi-level credibility assessment index system and a credibility assessment methodology. The whole assessment process is illustrated with the robotic arm digital twin as an example, which can provide directional guidance for the assessment and construction of the digital twin.

Recommended Citation

Lu, Han; Zhang, Lin; Wang, Kunyu; and Huang, Zejun (2023) "A Framework on Equipment Digital Twin Credibility Assessment," Journal of System Simulation: Vol. 35: Iss. 7, Article 4.
DOI: 10.16182/j.issn1004731x.joss.23-0057
Available at: https://dc-china-simulation.researchcommons.org/journal/vol35/iss7/4

First Page

1455

Last Page

1471

CLC

TP 391.9

Recommended Citation

Lu Han, Zhang Lin, Wang Kunyu, et al. A Framework on Equipment Digital Twin Credibility Assessment[J]. Journal of System Simulation, 2023, 35(7): 1455-1471.

Corresponding Author

Lin Zhang, johnlin999@163.com

DOI

10.16182/j.issn1004731x.joss.23-0057