The Challenge
Predicting engine maintenance needs to avoid unexpected failures and downtime for airlines.
The AI Solution
Digital twins of jet engines combined with AI predictive analytics. Sensors on engines feed data to ML models that predict wear and optimize maintenance scheduling.
Type of AI Used: Digital Twin + Predictive Machine Learning
Results & Impact
Using AI, Rolls-Royce achieved a 48% increase in time on wing before the first engine removal for maintenance. Engines run significantly longer between overhauls.
