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.
B. T. Thumati and J. Sarangapani, "An Online Approximator-Based Fault Detection Framework for Nonlinear Discrete-Time Systems," Proceedings of the 46th IEEE Conference on Decision and Control, 2007, pp. 26908-2613, Institute of Electrical and Electronics Engineers (IEEE), Jan 2007.
The definitive version is available at https://doi.org/10.1109/CDC.2007.4434964
46th IEEE Conference on Decision and Control (2007: Dec. 12-14, New Orleans, LA)
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Approximation theory; Discrete-time systems; Faults (Geology); Nonlinear control theory
Article - Conference proceedings
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