Interactive Real-Time Monitoring and Information Traceability for Complex Aircraft Assembly Field Based on Digital Twin

Li, Yajun; Liu, Wei; Zhang, Yang; Zhang, Wenlong; Gao, Changyong; Chen, Qihang; Ji, Yu

doi:10.1109/tii.2023.3234618

Cited by 7 publications

(2 citation statements)

References 43 publications

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“…For PHM in industrial assets, DT application is limited. Meanwhile, manual experience is still relied upon in areas where faults are a concern 27 . For example, fault monitoring and prediction can be performed by DTs of the EV and UAV.…”

Section: Dt Application In Phmmentioning

confidence: 99%

Digital twin-driven prognostics and health management for industrial assets

Xiao,

Zhong,

Bao

et al. 2024

Sci Rep

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As a facilitator of smart upgrading, digital twin (DT) is emerging as a driving force in prognostics and health management (PHM). Faults can lead to degradation or malfunction of industrial assets. Accordingly, DT-driven PHM studies are conducted to improve reliability and reduce maintenance costs of industrial assets. However, there is a lack of systematic research to analyze and summarize current DT-driven PHM applications and methodologies for industrial assets. Therefore, this paper first analyzes the application of DT in PHM from the application field, aspect, and hierarchy at application layer. The paper next deepens into the core and mechanism of DT in PHM at theory layer. Then enabling technologies and tools for DT modeling and DT system are investigated and summarized at implementation layer. Finally, observations and future research suggestions are presented.

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Section: Dt Application In Phmmentioning

confidence: 99%

Digital twin-driven prognostics and health management for industrial assets

Xiao,

Zhong,

Bao

et al. 2024

Sci Rep

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show abstract

“…They employed DT technology to achieve operational process control and data processing for mechanical equipment at different abstraction levels. Li et al [22] designed a DT system that supports real-time monitoring of aircraft assembly processes. Based on the hierarchical representation of time series information and the construction of multi-dimensional data cubes, the efficient collection and traceability of assembly data were achieved.…”

Section: Introductionmentioning

confidence: 99%

Implementation of Digital Twin in Actual Production: Intelligent Assembly Paradigm for Large-Scale Industrial Equipment

Ding,

Zhao,

Yan

et al. 2023

Machines

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The assembly process of large-scale and non-standard industrial equipment poses significant challenges due to its inherent scale-related complexity and proneness to errors, making it difficult to ensure process cost, production cycle, and assembly accuracy. In response to the limitations of traditional ineffective production models, this paper aims to explore and propose a digital twin (DT)-based technology paradigm for the intelligent assembly of large-scale and non-standard industrial equipment, focusing on both the equipment structure and assembly process levels. The paradigm incorporates key technologies that facilitate the integration of virtual and physical information, including the establishment and updating of DT models for assembly structures using actual data, the assessment of structural assemblability based on DT models, the planning and simulation of assembly processes, and the implementation of virtual commissioning technology tailored to the actual assembly process. The effectiveness of the proposed paradigm is demonstrated through a case study involving the actual assembly of a large-scale aerodynamic experimental equipment. The results confirm its ability to provide valuable technical support for the design, evaluation, and optimization of industrial equipment assembly processes. By leveraging the DT-based methodological system proposed in this paper, significant improvements in the transparency and intelligence of industrial equipment production processes can be achieved.

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A review of digital twin intelligent assembly technology and application for complex mechanical products

Chen

Xiao

et al. 2023

Int J Adv Manuf Technol

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Interactive Real-Time Monitoring and Information Traceability for Complex Aircraft Assembly Field Based on Digital Twin

Cited by 7 publications

References 43 publications

Digital twin-driven prognostics and health management for industrial assets

Digital twin-driven prognostics and health management for industrial assets

Implementation of Digital Twin in Actual Production: Intelligent Assembly Paradigm for Large-Scale Industrial Equipment

A review of digital twin intelligent assembly technology and application for complex mechanical products

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