Aerospace & DefenseGenerative AIComputer VisionPredictive Analytics
Rolls-Royce uses AI turbine blade inspection and engine health monitoring to prevent 400 maintenance events a year
Rolls-Royce uses Microsoft Cloud for Manufacturing, Azure Databricks, and generative AI across engine design, turbine production, and engine health monitoring. Its 'Signature Analyzer' AI/machine learning system inspects turbine blade cooling holes (previously about 2 million inspected manually per month), using machine vibration analysis and generative AI to optimize defect detection, boosting machine utilization 30% and accelerating fault resolution from days to near real time. AI-powered engine health monitoring tracks more than 10,000 engine parameters and detects and prevents around 400 unplanned maintenance events a year, saving millions in repair costs.
RORolls-Royce· United Kingdom
Microsoft Azure Databricks · Unity Catalog · Microsoft Cloud for Manufacturing