Course Description: This course provides an in-depth understanding of predictive maintenance methodologies and smart engineering solutions that improve the reliability and longevity of railway tracks using AI, IoT, and automation.
Objectives:
- Understand the fundamentals of smart track engineering.
- Analyze the role of IoT in railway predictive maintenance.
- Utilize AI-based models to detect track wear and failures.
- Implement automated track inspection solutions.
- Design effective track rehabilitation strategies.
- Optimize maintenance scheduling using big data analytics.
- Reduce costs and downtime through proactive maintenance.
- Integrate drones and robotics in track inspection processes.
- Develop sustainability-focused track maintenance techniques.
- Create a predictive maintenance framework for railway networks.
