Course Description: This course explores how artificial intelligence and predictive analytics can enhance railway safety by identifying and mitigating potential failures before they occur.
Objectives:
- Understand AI-driven predictive maintenance methodologies.
- Develop machine learning models for railway infrastructure monitoring.
- Integrate IoT sensors for real-time track and rolling stock inspections.
- Reduce maintenance costs through AI-optimized predictive strategies.
- Implement automated defect detection in railway signaling systems.
- Enhance safety compliance through AI-assisted inspections.
- Minimize train delays through predictive failure analysis.
- Utilize big data analytics to improve asset lifecycle management.
- Examine case studies on AI adoption in railway safety.
- Design an AI-powered predictive safety and maintenance strategy for railway networks.
