Abstract A novel engine health management (EHM) scheme is introduced. It uses flight-level, instead of thermodynamic, data to cost-effectively augment the onboard EHM redundancy. For a nominal healthy aircraft, fault-sensitive interrelations among flight data are globally modelled inside a flight regime via Constant-Coefficient Pooled Nonlinear AutoRegressive with eXogenous (CCP-NARX) excitation representations. Single or sequential engine faults perturb these interrelations. Statistically evaluating the perturbation-induced effects draws reliable conclusions on the engineʼs health. Validation and comparisons with Kalman filter-based alternatives are made throughout the regime under various operational conditions.
Aircraft engine health management via stochastic modelling of flight data interrelations
Aerospace Science and Technology ; 16 , 1 ; 70-81
2011-03-02
12 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Aircraft engine health management via stochastic modelling of flight data interrelations
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