Digital twin-based degradation prediction for train electro-pneumatic valve

Xiong, Liujing; He, Yifan; Chen, Yuejian; Lu, Jinjun; Niu, Gang

doi:10.1016/j.ress.2023.109627

Cited by 4 publications

(1 citation statement)

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“…Construction of a physical model provides the basis for services such as quality control and the analysis and prediction of the physical properties [89]. Xiong [91] proposed a scheme for predicting degradation for trains' electropneumatic valves under thermal stress based on a high-fidelity DT model with a parameter-updating ability.…”

Section: A High-fidelity Dt Model Of the Production Linementioning

confidence: 99%

Digital Twins for Discrete Manufacturing Lines: A Review

Feng,

Wan

2024

BDCC

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Along with the development of new-generation information technology, digital twins (DTs) have become the most promising enabling technology for smart manufacturing. This article presents a statistical analysis of the literature related to the applications of DTs for discrete manufacturing lines, researches their development status in the areas of the design and improvement of manufacturing lines, the scheduling and control of manufacturing line, and predicting faults in critical equipment. The deployment frameworks of DTs in different applications are summarized. In addition, this article discusses the three key technologies of high-fidelity modeling, real-time information interaction methods, and iterative optimization algorithms. The current issues, such as fine-grained sculpting of twin models, the adaptivity of the models, delay issues, and the development of efficient modeling tools are raised. This study provides a reference for the design, modification, and optimization of discrete manufacturing lines.

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Section: A High-fidelity Dt Model Of the Production Linementioning

confidence: 99%