Visual Mining and Statistics for a Turbofan Engine Fleet

Jérôme Lacaille (1) , Etienne Côme (2)

1 SNECMA Villaroche [Moissy-Cramayel]
2 SAMM - Statistique, Analyse et Modélisation Multidisciplinaire (SAmos-Marin Mersenne)

Snecma, as a turbofan manufacturer, needs to deal with a wide eet of more than thousands of engines. Every day, data from aircraft engines are broadcas- ted to the ground. Some airlines companies rely on their engine manufacturer to control the engines' behavior and help prepare for maintenance scheduling. The goal of the manufacturer is to detect abnormalities to help schedule main- tenance operations. The advantage of the manufacturer as MRO operator is the registered memory of all past events that appears on its eet of engines. If one opens the possibility to look in this huge amount of data for corresponding similar behaviors, which may have append in the past (for all engines of all customer companies), it becomes possible to make some targeted statistics of the future.

Domaines: Statistiques [math.ST]; Théorie [stat.TH]; Autres [stat.ML]

Jérôme Lacaille, Etienne Côme. Visual Mining and Statistics for a Turbofan Engine Fleet. IEEE Aerospace Conference, Mar 2011, Big-Sky Montana, United States. pp.1-8, ⟨10.1109/AERO.2011.5747578⟩. ⟨hal-00662333⟩