HUMS proactive analysis for predictive maintenance

Abstract

As part of maintenance improvement on helicopters, Airbus Helicopters has made available to customers, since 2018, a proactive analysis service based on Health and Usage Monitoring System data generated during the flight. Thanks to the use of various algorithms, capable of detecting changes in behavior as well as any incipient degradation, Airbus Helicopters provides customers, in the form of periodic reports, anticipated maintenance recommendations. These analyses, which today use all the different sources of data (vibrations, flight parameters, failure codes), are a first step towards the reduction of unscheduled events and predictive maintenance. This paper will present in details two algorithms “BEHAVIOR CHANGE RECOGNITION” and “PATTERN RECOGNITION”