Generative AI, Wheels. R&D, Digital Maintenance.
Alstom. United Kingdom
Generative AI for wheel lifecycle optimization. This project focused on developing an intelligent system powered by generative AI models to advance how wheel wear is assessed and predicted, supporting smarter maintenance decisions for rail fleets. The work covered both strategic planning and hands-on delivery, guiding the solution from concept through to successful rollout.
AI-driven maintenance for train wheels
By leveraging generative AI, this initiative redefined traditional train wheel maintenance methods. Utilizing large volumes of operational wheel data, the system generates precise 3D representations of wheels, enabling detailed virtual assessments. This digital twin approach allows maintenance teams to diagnose wear proactively and streamline planning, reducing downtime and cutting operational costs.
End-to-end AI project leadership
Danilo led this project across every phase, from the original idea, to directing the development process, and the deployment. The outcome demonstrates how cutting-edge AI can unlock tangible performance improvements and deliver strategic value by safeguarding the condition and reliability of critical railway components.
