Leveraging digital twin technology for proactive failure mode detection
The Infosys engineering services team decided to tackle the problem by leveraging the Industrial Internet to provide visibility into the health and status of each aircraft’s landing gear. By adding sensors to landing gears and analyzing that sensor data, the team realized it could determine the useful life of the equipment. But first, the team had to study the various failure modes of the landing gear.
While doing so, the team identified 34 locations where sensors can be applied to provide data for early detection of wear or malfunction. Using the data from these 34 sensors, Infosys created a digital twin of each aircraft’s physical landing gear. The digital twin models one instance and is continuously updated, allowing current issues to be diagnosed and enabling prediction on the remaining useful life based on historical data.
During takeoff and landing, data is collected an average of once per second from each of the 34 sensors on the landing gear. The data is stored in the Predix Time Series store, and Predix Analytic Services are used to diagnose anomalies to determine fixes for any issues. A Predix Platform-based application continuously compares actual data with predicted data based on the digital twin. Any deviations can be used to modify and optimize the prediction models for required maintenance intervals and catch outlier problems while they are small enough that maintenance can be scheduled proactively.
As a result of this solution, aircraft engineers can see how much useful life remains for a given set of aircraft landing gear and determine when maintenance should be performed to avoid downtime. The airline not only reduces costs due to flight delays, but can also extend the lifespan of existing equipment by proactively addressing issues before they cause unnecessary wear and tear. And, let’s not forget: Flights run on time, which means satisfied customers.
If you’d like to learn more about how Infosys built this solution on Predix Platform and see the solution architecture, read the full story here.