Fault detection for nonlinear systems with uncertain parameters based on the interval fuzzy model
| Autor: | Sašo Blaič, Igor Škrjanc, Simon Oblak |
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| Rok vydání: | 2007 |
| Předmět: |
Mathematical optimization
Linear programming Computer science Fuzzy model Interval (mathematics) Measure (mathematics) Fault detection and isolation Identification (information) Nonlinear system Artificial Intelligence Control and Systems Engineering Electrical and Electronic Engineering Algorithm Confidence and prediction bands |
| Zdroj: | Engineering Applications of Artificial Intelligence. 20:503-510 |
| ISSN: | 0952-1976 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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