Design of a Digital Twin for Spacecraft Network System

Zhao, Zhenhao; Wang, Feng; Gao, Yanru; Li, Tao; Ying, Le; Liang, Wudi; Li, Yaonan; Dong, Zhanmin

doi:10.1109/icece56287.2022.10048639

Cited by 2 publications

(1 citation statement)

References 5 publications

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“…Application of DT in aerospace industry has increased in recent years. In the past, having a ground physical twin system of a spacecraft was the standard, but with the successful development of digital twin systems the cost of launching, tracking and monitoring of a spacecraft has reduced by a significant factor [98,99]. Wang et al presents a method for developing a 3D point cloud based digital twin system, which will bring down the cost further [100].…”

Section: Digital Twin In Structural Health Monitoringmentioning

confidence: 99%

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Preethichandra,

Suntharavadivel,

Kalutara

et al. 2023

Sensors

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Recent developments in networked and smart sensors have significantly changed the way Structural Health Monitoring (SHM) and asset management are being carried out. Since the sensor networks continuously provide real-time data from the structure being monitored, they constitute a more realistic image of the actual status of the structure where the maintenance or repair work can be scheduled based on real requirements. This review is aimed at providing a wealth of knowledge from the working principles of sensors commonly used in SHM, to artificial-intelligence-based digital twin systems used in SHM and proposes a new asset management framework. The way this paper is structured suits researchers and practicing experts both in the fields of sensors as well as in asset management equally.

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Section: Digital Twin In Structural Health Monitoringmentioning

confidence: 99%

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Preethichandra,

Suntharavadivel,

Kalutara

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

Digital Twins and AI, the Cosmic Revolution in Space Technology

Ambalkar,

Mandhare,

Ninawe

et al. 2024

Harnessing AI and Digital Twin Technologies in Businesses

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In this chapter the authors explore how digital twins and artificial intelligence (AI) are reshaping the space sector. Through an extensive literature survey, assessing their current impact on space technology. Unveiling transformative applications, such as real-time space debris tracking and AI-driven deep space communication. AI also plays a vital role in astronaut health monitoring, while digital twins optimize satellite operations and spacecraft design. Empirical results demonstrate improved efficiency, safety, and data-driven decision-making. This chapter then delves into societal implications and future trends, revealing the transformative journey of space technology led by digital twins and AI. The chapter delves into empirical results, offering insights into the practical implementation of these systems and fostering in-depth discussions. It highlights their advantages, including increased efficiency, safety, and data-driven decision-making.

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Design of a Digital Twin for Spacecraft Network System

Cited by 2 publications

References 5 publications

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Influence of Smart Sensors on Structural Health Monitoring Systems and Future Asset Management Practices

Digital Twins and AI, the Cosmic Revolution in Space Technology

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