Title :
Local approach to FDI in nonlinear dynamical systems
Author :
Basseville, Michele ; Qinghua Zhang
Author_Institution :
IRISA, Rennes, France
fDate :
Aug. 31 1999-Sept. 3 1999
Abstract :
We address the problem of component fault detection and isolation in nonlinear dynamical systems. We consider parameterized nonlinear state-space models and, in the framework of the local approach we have developed, we investigate two possible solutions. The first one is based on state elimination and the use of an equivalent input-output model. The second one is based on state estimation and the use of an observer. We discuss the advantages and drawbacks of both approaches. Numerical results are given for both methods applied on a simulated example.
Keywords :
fault diagnosis; nonlinear systems; observers; state-space methods; FDI; component fault detection; equivalent input-output model; fault isolation; nonlinear dynamical systems; observer; parameterized nonlinear state-space models; state elimination; state estimation; Computational modeling; Mathematical model; Monitoring; Noise; Observers; Sensitivity; FDI; component faults; nonlinear dynamical systems; statistical local approach;
Conference_Titel :
Control Conference (ECC), 1999 European
Conference_Location :
Karlsruhe
Print_ISBN :
978-3-9524173-5-5