An Approach to the Health Monitoring of the Fuel System of a Turbofan
TypeCommunications avec actes
This paper focuses on the monitoring of the fuel system of a turbofan which is the core organ of an aircraft engine control system. The paper provides a method for real time on-board monitoring and on-ground diagnosis of one of its subsystems: the hydromechanical actuation loop. First, a system analysis is performed to highlight the main degradation modes and potential failures. Then, an approach for a real-time extraction of salient features named indicators is addressed. On-ground diagnosis is performed through a learning algorithm and a classification method. Parameterization of the on-ground part needs a reference healthy state of the indicators and the signatures of the degradations. The healthy distribution of the indicators is measured on field data whereas a physical model of the system is utilized to simulate degradations, quantify indicators sensibility and construct the signatures. Eventually, algorithms are deployed and statistical validation is performed by the computation of key performance indicators (KPI).
Files in this item
Showing items related by title, author, creator and subject.
Numerical Key Performance Indicators for the Validation of PHM Health Indicators with Application to a Hydraulic Actuation System LAMOUREUX, Benjamin; MECHBAL, Nazih; MASSE, Jean-Rémi (AIDIC, 2013)In order to perform Prognostic and Health Management (PHM) of a given system, it is necessary to define some relevant variables sensitive to the different degradation modes of the system. Those variables are named Health ...
Diagnostics of an Aircraft Engine Pumping Unit Using a Hybrid Approach based-on Surrogate Modeling LAMOUREUX, Benjamin; MASSÉ, Jean-Rémi; MECHBAL, Nazih (IEEE PHM, 2013)This document introduces a hybrid approach for fault detection and identification of an aircraft engine pumping unit. It is based on the complementarity between a model-based approach accounting for uncertainties aimed at ...
A combined sensitivity analysis and kriging surrogate modeling for early validation of health indicators LAMOUREUX, Benjamin; MECHBAL, Nazih; MASSÉ, Jean-Rémi (ELSEVIER, 2014)To increase the dependability of complex systems, one solution is to assess their state of health continuously through the monitoring of variables sensitive to potential degradation modes. When computed in an operating ...
Improving Aircraft Engines Prognostics and Health Management via Anticipated Model-Based Validation of Health Indicators LAMOUREUX, Benjamin; MASSÉ, Jean-Rémi; MECHBAL, Nazih (Prognostics journal, 2014)The aircraft engines manufacturing industry is subjected to many dependability constraints from certification authorities and economic background. In particular, the costs induced by unscheduled maintenance and delays and ...
LAMOUREUX, Benjamin; MECHBAL, Nazih; MASSÉ, Jean-Rémi (IEEE, 2013)Health Monitoring is the science of system health status evaluation. In the modern industrial world, it is getting more and more importance because it is a powerful tool to increase systems dependability. It is based on ...