Title :
Robust parametric and non-parametric fault diagnosis in nonlinear input-output systems
Author :
Parisini, T. ; Polycarpou, M. ; Sanguineti, M. ; Vemuri, A.
Author_Institution :
Dipt. di Elettrotecnica, Elettronica ed Inf., Trieste Univ., Italy
Abstract :
This paper describes a fault diagnosis algorithm for a class of nonlinear dynamic systems with modeling uncertainties, using input/output measurements. Two types of faults are considered: parametric faults which characterize fault functions of known structure but unknown parameters, and non-parametric faults where the structure of the fault function is unknown. A nonlinear estimation model with a learning algorithm is developed and the fault separability concept for parametric faults is discussed
Keywords :
fault diagnosis; learning systems; nonlinear dynamical systems; parameter estimation; uncertainty handling; fault diagnosis; fault separability; learning algorithm; modeling uncertainty; nonlinear dynamic systems; nonlinear estimation model; nonlinear input-output systems; nonparametric faults; parametric faults; Analytical models; Differential equations; Fault detection; Fault diagnosis; Input variables; Redundancy; Robustness; Uncertainty;
Conference_Titel :
Decision and Control, 1997., Proceedings of the 36th IEEE Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-4187-2
DOI :
10.1109/CDC.1997.649672
