Title :
An online approximator-based fault detection framework for nonlinear discrete-time systems
Author :
Thumati, Balaje T. ; Jagannathan, S.
Author_Institution :
Missouri Univ., Rolla
Abstract :
In this paper, a fault detection scheme is developed for nonlinear discrete time systems. The changes in the system dynamics due to incipient failures are modeled as a nonlinear function of state and input variables while the time profile of the failures is assumed to be exponentially developing. The fault is detected by monitoring the system and is approximated by using online approximators. A stable adaptation law in discrete-time is developed in order to characterize the faults. The robustness of the diagnosis scheme is shown by extensive mathematical analysis and simulation results.
Keywords :
approximation theory; discrete time systems; fault diagnosis; nonlinear control systems; fault detection; mathematical analysis; nonlinear discrete-time systems; online approximator; Condition monitoring; Control systems; Discrete time systems; Fault detection; Fault diagnosis; Input variables; Nonlinear control systems; Nonlinear dynamical systems; Robustness; USA Councils;
Conference_Titel :
Decision and Control, 2007 46th IEEE Conference on
Conference_Location :
New Orleans, LA
Print_ISBN :
978-1-4244-1497-0
Electronic_ISBN :
0191-2216
DOI :
10.1109/CDC.2007.4434964
