Improved accuracy through machine learning
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 a 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.
We’re now pleased to announce that FEVA 2.0 is being rolled out to SavvyMx, SavvyQA and SavvyAnalysis Pro clients. Leveraging data from over 2.5 million flights, FEVA 2.0 is a significantly improved and more accurate version of FEVA. It is also the first practical application of machine learning technology to GA maintenance. To learn more about this exciting technology, see the FAQs below.