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Développement d’une approche intégrée de PHM – Prognostics and Health Management : Application au Circuit Carburant d’un Turboréacteur

Abstract : For manufacturers of aircraft engines such as Snecma, the increase of systems availability is one of the key challenges of the future. Indeed, the limitation of delays and cancellations and the reduction of maintenance operations frequency and duration could lead to important costs savings. To improve availability, the most proven tool is currently prognostics and health management (PHM). The first contribution of this thesis work is to propose complete terminological and functional frameworks for the development of PHM adapted to the specific application on aircraft engines. Subsequently, an integrated development approach based on the original V3-model is formalized. The second contribution is an original model-based process for the development of the embedded extraction of health indicators, based on sensitivity analysis, support vector regression and original performance indicators for the validation. Since it is aimed at being performed before the entry into service, the stochastic data are issued from Monte-Carlo based uncertainties propagation. In order to overcome the prohibitive computation time of the model evaluations, surrogate models are used. More particularly, the third contribution of this thesis work is an original technique combining support vector regression with Kriging. The whole approach is finally tested on an aircraft engine fuel system. The results are promising, both at the industrial level with the release of valuable information about the quality of the health indicators set and at the academic level with the proven accuracy of the novel SVR-Kriging approach.
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Submitted on : Friday, November 21, 2014 - 4:52:17 PM
Last modification on : Wednesday, September 28, 2022 - 5:52:08 AM
Long-term archiving on: : Monday, February 23, 2015 - 9:08:06 AM


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  • HAL Id : tel-01086049, version 1


Benjamin Lamoureux. Développement d’une approche intégrée de PHM – Prognostics and Health Management : Application au Circuit Carburant d’un Turboréacteur. Automatique / Robotique. Ecole nationale supérieure d'arts et métiers - ENSAM, 2014. Français. ⟨NNT : 2014ENAM0018⟩. ⟨tel-01086049⟩



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