An Approach to the Health Monitoring of a Pumping Unit in an Aircraft Engine Fuel System

##plugins.themes.bootstrap3.article.main##

##plugins.themes.bootstrap3.article.sidebar##

Published Jul 3, 2012
Benjamin Lamoureux Jean-Rémi Massé Nazih Mechbal

Abstract

This paper provides an approach for health monitoring through an early detection of failure modes premises. It is a physics-based model approach that captures the knowledge of the system and its degradations. The component under study is the pumping unit such as those found in aircraft engines fuel systems. First, a complete component analysis is performed to determine its potential degradation and a physics-based relevant component health indicator (CHI) is defined. Then, degradations are modelled and their impacts on the CHI are quantified using an AMESim® physics-based model. Assuming that in-flight measures are available, a model updating is performed and a healthy distribution of the CHI is computed. Eventually, a fault detection algorithm is developed and statistical validation is performed through the computation of key performance indicators (KPI). In parallel, a degradation severity indicator (DSI) is defined and prognostic is performed based on the monitoring of this DSI.

How to Cite

Lamoureux, B., Massé, J.-R., & Mechbal, N. (2012). An Approach to the Health Monitoring of a Pumping Unit in an Aircraft Engine Fuel System. PHM Society European Conference, 1(1). https://doi.org/10.36001/phme.2012.v1i1.1421
Abstract 1097 | PDF Downloads 1921

##plugins.themes.bootstrap3.article.details##

Keywords

aircraft engines, damage modeling, diagnostics and prognostics, physical modeling, early fault detection, Fuel system, pump

References
Balaban, E., A. Saxena, P. Bansal, K.F. Goebel, P. Stoelting, and S. Curran. "A diagnostic approach for electro-mechanical actuators in aerospace systems." IEEE Aerospace Conference Proceedings. Big Sky, 2009.
Basseville, Michelle. "On-board component fault detection and isolation using the statistical local approach." Automatica vol. 34, 1998: 1391-1415.
Byington, C.S., M. Watson, D. Edwards, and P. Stoelting. "A model-based approach to prognostics and health management for flight control actuators." IEEE Aerospace Conference Proceedings. 2004. 3551-3562.
Casoli, Paolo, Vacca Andrea, and Germano Franzoni. "A Numerical Model for the Simulation of External Gear Pumps." Proceedings of the 6th JFPS International Symposium on Fluid Power. Tsukuba, 2005.
Frith, R.H., and W. Scott. "Wear in external gear pumps : a simplified model." Wear 172, 1994: 121-126.
Isermann, Rolf. "Supervision, fault-detection and fault-diagnosis methods - An introduction." Control Engineering Practice vol.5, 1997: 639-652.
Lamoureux, Benjamin, Jean-Rémi Massé, and Nazih Mechbal. "A Diagnosis Methodology for the Hydromechanical Actuation Loops in Aircraft Engines." Proceedings of the 20th Mediterranean Conference on Control and Automation (forthcoming). Barcelona, 2012.
Lamoureux, Benjamin, Jean-Rémi Massé, and Nazih Mechbal. "An approach to the Health Monitoring of the Fuel System of a Turbofan." Proceedings of IEEE PHM 2012 (forthcoming). Denver, 2012.
Massé, J.R., B. Lamoureux, and X. Boulet. "Prognosis and Health Management in system design." Proceedings of IEEE PHM 2011. Denver, 2011.
Mechbal, N., M. Vergé, G. Coffignal, and M. Ganapathi. "Application of a combined active control and fault detection scheme to an active composite flexible structure." Mechatronics vol. 16, 2006: 193-208.
Orsagh, R., D. Brown, M. Roemer, T. Dabney, and A. Hess. "Prognostic health management for avionics system power supplies." IEEE Aerospace Conference Proceedings. 2005.
Sheppard, J.W., M.A. Kaufman, and T.J. Wilmer. "IEEE Standards for Prognostics and Health Management." Aerospace and Electronic Systems Magazine 24, no. 9 (2009): 34–41.
Wickens, Thomas D. Elementary Signal Detection Theory. Oxford University Press, 2002.
Section
Technical Papers