Predictive Maintenance
Aerospace Industry
Deployed ML-powered predictive maintenance across 500 aircraft engines, reducing unplanned downtime by 50% and saving $200M annually.
Client
Aerospace Industry
Industry
Aerospace
Duration
15 months
Team Size
22 consultants
Services
Understanding the Problem
A major aerospace manufacturer faced challenges with aircraft engine maintenance. Unplanned maintenance events caused costly flight delays and cancellations, while scheduled maintenance often replaced components with remaining useful life. The company needed a data-driven approach to optimize maintenance timing.
The Solution
We developed a sophisticated predictive maintenance solution using machine learning. The system ingests real-time telemetry from 500+ aircraft engines, processing thousands of sensor readings per second. Deep learning models predict component failures with high accuracy, enabling just-in-time maintenance. The solution integrates with maintenance planning systems to automatically schedule interventions.
Technologies & Tools
Measurable Results
Reduction in unplanned downtime
Annual cost savings
Prediction accuracy achieved
Extension in component life
“Nuduo's predictive maintenance solution has transformed our MRO operations. We've gone from reactive to predictive, saving hundreds of millions while improving safety.”
Jennifer Walsh
SVP Engineering, Aerospace Manufacturer
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