Course Description: This course explores the transformative role of digital twins in railway infrastructure, enabling virtual prototyping, predictive maintenance, and real-time asset monitoring to improve efficiency and reduce costs.
Objectives:
- Understand the fundamentals of digital twin technology in railways.
- Develop simulation models for infrastructure performance analysis.
- Integrate real-time sensor data into digital twin systems.
- Utilize virtual prototyping for railway system optimization.
- Improve predictive maintenance using digital twin analytics.
- Enhance operational efficiency with AI-driven simulations.
- Reduce maintenance costs through real-time performance monitoring.
- Examine global case studies of digital twin adoption in railways.
- Assess cybersecurity measures for protecting digital twin systems.
- Develop a digital twin implementation roadmap for railway operations.
