DGLR-Publications Database - Detailview
Title:
Monitoring of MGB Lubrication and Cooling System based on Big Data Normality Models and Fuzzy Expert Rules
Author(s):
A. Mechouche, M. Houles, J. Belmonte, P.-L. Maisonneuve
Abstract:
This paper presents an original method for the monitoring of the helicopter main gearbox lubrication and cooling system. The method relies on sensor data of oil pressures and temperature, as well as on domain expert knowledge. It combines oil pressures and temperature normality models built from a significant amount of training data collected from customers helicopters, with fuzzy expert rules which allow precise root cause identification in case of lubrication or cooling sub-systems anomalies. The results have been validated based on known maintenance findings, showing that the proposed method allows to accurately detect anomalies related to the lubrication and cooling sub-systems as soon as they appear.
Event:
49th European Rotorcraft Forum 2023, Bückeburg, 2023
Mediatype:
Conference Paper
Language:
englisch
Format:
21,0 x 29,7 cm, 9 Pages
Published in:
DGLR-Bericht, 2023, 2023-01, 49th European Rotorcraft Forum 2023 - Proceedings; S.1-9; 2023; Deutsche Gesellschaft für Luft- und Raumfahrt - Lilienthal-Oberth e.V., Bonn
Price:
NA
ISBN:
ISSN:
Comment:
Classifikation:
Keywords:
Available:
Bestellbar
Published:
2023
This Document is part of a superordinate publication051:
49th European Rotorcraft Forum 2023 - Proceedings