Predicting exhaust valve failure with engine data and machine learning
FEVA 2.1, the latest version of FEVA (Failing Exhaust Valve Analytics) introduced in May 2021, provides a 20% improvement in predictive accuracy.
An exhaust valve failure can be an expensive and dangerous event. Since 2014, the FEVA (Failing Exhaust Valve Analytics) feature of SavvyAnalysis has scanned uploaded data from more than three million GA flights for the telltale signs of a burned exhaust valve whenever engine data is uploaded to the platform. On more than 60 occasions, FEVA has caught a failure before it happens.
Then, in early 2020 Savvy rolled out FEVA 2.0 to SavvyMx, SavvyQA and SavvyAnalysis Pro clients. Leveraging data from over 3 million flights, FEVA 2.0 was a significantly improved and more accurate version of FEVA. It was the first practical application of machine learning technology to GA maintenance.
Now FEVA 2.1, the recent upgrade of FEVA, incorporates more predictive variables from an aircraft’s entire recent flight history, resulting in more accurate, sensitive and consistent predictions.
To learn more about this exciting technology, see the FAQs below.