Aircraft engine health management via stochastic modelling of flight data interrelations

作者：Dimogianopoulos D^*; Hios J; Fassois S

来源：Aerospace Science and Technology, 2012, 16(1): 70-81.

DOI：10.1016/j.ast.2011.03.002

• Health management
• Fault detection
• Fault isolation
• Stochastic modelling
• Nonlinear models
• Engine systems
• Decision making
• Statistical inference

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 engine%26apos;s health. Validation and comparisons with Kalman filter-based alternatives are made throughout the regime under various operational conditions.

• 出版日期2012-2