Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
1718504 | Aerospace Science and Technology | 2012 | 12 Pages |
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.
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Physical Sciences and Engineering
Engineering
Aerospace Engineering
Authors
D. Dimogianopoulos, J. Hios, S. Fassois,