Zítek, Pavel ; Mánková, Renata ; Hlava, Jaroslav
Contributor:Korbicz, Józef (1951- ) - red. ; Patton, Ronald J. - red.
Title:Neural network evaluation of model-based residuals in fault detection of time delay systems
Subtitle: Group publication title: Subject and Keywords:model-based fault detection ; anisochronic model ; state observer ; internal model control ; artificial neural networks
Abstract:Model-based fault detection becomes rather questionable if a supervised plant belongs to the class of systems with distributed parameters and significant delays. Two methods of fault detection have been developed for this class of plants, namely a method of functional (anisochronic) state observer and a modified internal model control scheme adopted for that purpose. ; Both these model schemes are employed to generate residuals, i.e. differences suitable to watch whether a malfunction of the control operation has occurred. Continuous evaluation of residuals is provided by means of a dynamic application of artificial neural networks (ANNs). ; This evaluation is carried out on the basis of prediction of time series evolution, where the accordance obtained between the prediction and measured outputs is used as a classification criterion. Implementation of both the methods is demonstrated on a laboratory-scale heat transfer set-up, making use of the Real-Time Matlab software.
Publisher:Zielona Góra: Uniwersytet Zielonogórski
Date: Resource Type: Pages: Source:AMCS, volume 9, number 3 (1999) ; click here to follow the link
Language: License CC BY 4.0: Rights: