27th Congress of International Council of the Aeronautical Sciences, 19 - 24 September 2010, Nice, France
Paper ICAS 2010-10.10.5

APPLICATION OF RANDOM FOREST TO ENGINE HEALTH MONITORING

J. Ricordeau, J. Lacaille
Snecma, France

Keywords: health monitoring, random forest, diagnostic

Advanced Health Monitoring is becoming a standard for new engines, in order to enable in-service event reduction and engine maintenance optimization. The efficiency of these functionalities is driven by the capability to model engine behaviors and identify engines’ conditions. This article proposes health monitoring solution based on random forest algorithm.

view full paper