Ariyachandra, Mahendrini;
Wen, Ya;
Yu, Jiadong;
(2025)
Advancing Rail Infrastructure: Integrating Digital Twins and Cyber-Physical Systems for Predictive Maintenance.
In:
(Proceedings) 2025 European Conference on Computing in Construction.
EC3: Porto, Portugal.
(In press).
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Abstract
The railway sector struggles with infrastructure inefficiencies due to traditional maintenance methods, resulting in high costs and unplanned disruptions. This paper provides a conceptual framework that integrates Digital Twins (DT) and Cyber-Physical Systems (CPS) to enhance predictive maintenance (PdM). By establishing a technical architecture for real-time monitoring and fault detection, the framework will facilitate seamless data exchange for automated decision-making. The findings contribute to advancing intelligent railway maintenance, fostering sustainability, and enhancing resilience in railway operations. This research provides actionable insights for industry stakeholders, supporting the transition towards data-driven, adaptive maintenance strategies in modern rail networks.
| Type: | Proceedings paper |
|---|---|
| Title: | Advancing Rail Infrastructure: Integrating Digital Twins and Cyber-Physical Systems for Predictive Maintenance |
| Event: | 2025 European Conference on Computing in Construction |
| Location: | Porto, Portugal |
| Dates: | 14 Jul 2025 - 17 Jul 2025 |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://ec-3.org/conference2025/ |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10211557 |
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