Title :
Fault Detection and Isolation in Aircraft Systems Using Stochastic Nonlinear Modelling of Flight Data Dependencies
Author :
Dimogianopoulos, Dimitrios G. ; Hios, John D. ; Fassois, Spilios D.
Author_Institution :
Dept. of Mech. & Aeronaut. Eng., Patras Univ.
Abstract :
This paper introduces a fault detection and isolation (FDI) scheme for aircraft systems based on the modelling of the relationships among flight variables. The modelling is performed by means of pooled nonlinear autoregressive with exogenous (NARX) excitation representations. During the system´s operation in healthy mode, these relationships are valid. Hence, a scheme using statistical hypothesis testing is designed to detect changes in these relationships as a result of fault occurrence. The FDI scheme´s performance and robustness are assessed with flights conducted under various external flight conditions (turbulence)
Keywords :
aircraft control; autoregressive processes; control system synthesis; fault diagnosis; nonlinear control systems; statistical testing; FDI scheme; NARX excitation representations; aircraft systems; fault detection; fault isolation; flight data dependencies; nonlinear autoregressive representation; statistical hypothesis testing; stochastic nonlinear modelling; Aerodynamics; Aircraft; Costs; Fault detection; Hardware; Intelligent sensors; Neural networks; Stochastic systems; Switches; Testing; Fault detection and isolation; aircraft systems; statistical decision making; stochastic nonlinear modelling;
Conference_Titel :
Control and Automation, 2006. MED '06. 14th Mediterranean Conference on
Conference_Location :
Ancona
Print_ISBN :
0-9786720-1-1
Electronic_ISBN :
0-9786720-0-3
DOI :
10.1109/MED.2006.328695
