Generative AI, Pantograph. R&D, Predictive Maintenance.
Alstom. United Kingdom
Generative AI for pantograph performance and maintenance. This project centred on designing an advanced solution that applies generative artificial intelligence to improve how pantograph wear and performance are monitored and forecasted. The system empowers railway operators to make more informed maintenance choices, enhancing the reliability and lifespan of overhead current collection systems. The initiative spanned from early-stage strategy through to practical deployment.
Predictive maintenance powered by generative AI
By applying generative AI techniques, this solution modernises the maintenance process for train pantographs. Processing extensive operational data, the platform builds detailed 3D digital models of pantograph assemblies, enabling remote inspections and predictive diagnostics. This virtual modelling capability helps maintenance teams identify potential faults earlier, optimise repair schedules, and minimise service interruptions and associated costs.
Comprehensive AI project delivery
Danilo provided leadership throughout the full duration of the project, defining the vision, overseeing development activities, and ensuring the final system went live smoothly. This project is a clear example of how next-generation AI can drive measurable efficiency gains and add strategic value by maintaining the operational safety and durability of vital railway infrastructure.
