Brief paper: Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model

Authors:
Simon Oblak;Igor Škrjanc;Sašo Blaič
Affiliations:
Faculty of Electrical Engineering, Traška 25, 1000 Ljubljana, Slovenija;Faculty of Electrical Engineering, Traška 25, 1000 Ljubljana, Slovenija;Faculty of Electrical Engineering, Traška 25, 1000 Ljubljana, Slovenija
Venue:
Engineering Applications of Artificial Intelligence
Year:
2007

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Abstract

In the paper an application of the interval fuzzy model (INFUMO) in fault detection for nonlinear systems with uncertain interval-type parameters is presented. A confidence band for the input-output data, obtained in the normal operating conditions of a system, is approximated using a fuzzy model with interval parameters. The approximation is based on linear programming using l"~-norm as a measure of the modelling error. Applying low-pass filtering when obtaining the confidence band makes it possible to use arbitrary sets of identification input signals. An application of the INFUMO in a fault-detection system for a two-tank system is presented to demonstrate the benefits of the proposed method.