Selection and Validation of Health Indicators in Prognostics and Health Management System Design
TypeCommunications avec actes
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 the observation of some variables extracted in operation reflecting the condition of a system. The quality of health monitoring strongly depends on the selection of these variables named health indicators. However, the issue in their selection is often underestimated and their validation is, of what is known, an untreated subject. In this paper, the authors introduce a complete methodology for the selection and validation of health indicators in health monitoring systems design. Although it can be applied either downstream on real measured data or upstream on simulated data, the true interest of the method is in the latter application. Indeed, a model-based validation can be integrated in the design phases of the system development process, thereby reducing potential controller retrofit costs and useless data storage. In order to simulate the distribution of health indicators, a well known surrogate model called Kriging is utilized. Eventually, the method is tested on a benchmark system: the high pressure pump of aircraft engines fuel systems. Thanks to the method, the set of health indicators was validated in system design phases and the monitoring is now ready to be implemented for in-service operation.
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LAMOUREUX, Benjamin; MASSÉ, Jean-Rémi; MECHBAL, Nazih (IEEE, 2012)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 ...
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 ...