In this paper, a novel robust scheme is developed for detecting faults in nonlinear discrete time multi-input and multi-output systems in contrast with the available schemes that are developed in continuous-time. Both state and output faults are addressed by considering separate time profiles. The faults, which could be incipient or abrupt, are modeled using input and output signals of the system. By using nonlinear estimation techniques, the discrete-time system is monitored online. Once a fault is detected, its dynamics are characterized using an online approximator. A stable parameter update law is developed for the online approximator scheme in discrete-time. The robustness, sensitivity, and performance of the fault detection scheme are demonstrated mathematically. Finally, a Continuous Stir Tank Reactor (CSTR) is used as a simulation example to illustrate the performance of the fault detection scheme.
B. T. Thumati and J. Sarangapani, "A Model Based Fault Detection Scheme for Nonlinear Multivariable Discrete-Time Systems," Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2008, Institute of Electrical and Electronics Engineers (IEEE), Oct 2008.
The definitive version is available at http://dx.doi.org/10.1109/ICSMC.2008.4811580
IEEE International Conference on Systems, Man and Cybernetics, 2008
Electrical and Computer Engineering
National Science Foundation (U.S.)
Keywords and Phrases
Adaptive Estimation; Fault Detection; Multivariable System; Nonlinear Discrete Time System
Article - Conference proceedings
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