Solution architecture: Aircraft engine monitoring for predictive maintenance in aerospace

Air travel is central to modern life. However, aircraft engines are expensive, and keeping them up and running requires frequent maintenance by highly skilled technicians. The production hours lost to downtime can add up, cutting into your potential profit. Plus, fuel accounts for about 10% of the total cost of running an aircraft, so efficiency matters.

Modern aircraft engines are equipped with highly sophisticated sensors that track how they’re functioning. By combining the data from these sensors with advanced analytics, it’s possible to both monitor the aircraft in real time and predict the remaining useful life of an engine component so that maintenance can be scheduled in a timely manner to prevent mechanical failures.

This aircraft-health-monitoring system predicts the remaining useful life of engine components. It includes data ingestion, data storage, data processing and advanced analytics – all essential for building an end-to-end predictive-maintenance solution. And while this example is customised for aircraft engine monitoring, the solution can easily be generalised for other predictive-maintenance scenarios.

By decreasing downtime and ensuring that engines are running efficiently, this solution helps you keep your fleet up and running as profitably as possible.