Course Description: This course introduces AI-driven strategies to optimize railway asset management, reduce maintenance costs, and enhance infrastructure efficiency.
Objectives:
- Understand AI applications in railway asset tracking and management.
- Utilize machine learning to predict asset failures.
- Implement IoT sensors for real-time infrastructure monitoring.
- Develop data-driven decision-making strategies for rail maintenance.
- Optimize railway asset lifecycle management with AI insights.
- Enhance predictive maintenance models for railway components.
- Reduce maintenance-related downtime using AI-powered forecasting.
- Automate asset inspections with computer vision technology.
- Apply AI analytics to optimize rail supply chain logistics.
- Develop a long-term AI-driven asset management plan.
