Korbicz, Józef - red. ; Patton, Ronald J. - red.
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.
Zielona Góra: Uniwersytet Zielonogórski
AMCS, volume 9, number 3 (1999) ; kliknij tutaj, żeby przejść
Biblioteka Uniwersytetu Zielonogórskiego
2021-09-03
2021-01-22
72
https://zbc.uz.zgora.pl/publication/64804
Nazwa wydania | Data |
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Neural network evaluation of model-based residuals in fault detection of time delay systems | 2021-09-03 |
Hardier, Georges Seren, Cédric Ezerzere, Pierre Simani, Silvio - ed. Castaldi, Paolo - ed.
Szymczyk, Piotr Tomecka-Suchoń, Sylwia Szymczyk, Magdalena Iacono, Mauro - ed. Kołodziej, Joanna - ed.
Boukezzoula, Reda Galichet, Sylvie Foulloy, Laurent Korbicz, Józef - red.
Latawiec, Krzysztof J. Rojek, Ryszard Korbicz, Józef - red. Uciński, Dariusz - red.
Khrouf, F. Tebassi, Hamid Yallese, M.A. Chaoui, Kamel Haddad, A. Jurczak, Paweł - red.
Huk, Maciej Korbicz, Józef - red. Uciński, Dariusz - red.
Płonka, Lesław Kuczyński, Tadeusz - red.
Rybka, Jan Janicki, Artur Korbicz, Józef - red. Uciński, Dariusz - red.