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Model identificaton for temperature extrapolation in aircraft powerplant systems

Abstract : In the aerospace industry, the manufacturer Airbus must ensure that for all flight conditions, the temperature of each aircraft powerplant system must be less than its corresponding maximum declared temperature. In our days, based on flight test data, Airbus needs to develop temperature extrapolation methods in order to predict equipments' thermal behavior at the worst conditions. The proposed techniques are based on the system identification theory which consists on heuristically determining an analytical model using physical insights and measurements. More precisely, this paper validates \ARX\ models as a tool for the identification of the system's temperature. This is done through the understanding of the physical insights of this type of structures and based on numerical simulations and laboratory representative tests.
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Submitted on : Tuesday, January 10, 2017 - 10:46:53 AM
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Fermin Uriz Jauregui, Benjamin Remy, Alain Degiovanni, Olivier Verseux. Model identificaton for temperature extrapolation in aircraft powerplant systems. International Journal of Thermal Sciences, 2013, 64, pp.162 - 177. ⟨10.1016/j.ijthermalsci.2012.08.019⟩. ⟨hal-01430690⟩



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