Autor:
Korbicz, Józef (1951- ) ; Patan, Krzysztof ; Obuchowicz, Andrzej
Współtwórca:
Korbicz, Józef (1951- ) - red. ; Patton, Ronald J. - red.
Tytuł:
Dynamic neural networks for process modelling in fault detection and isolation systems
Podtytuł:
Tytuł publikacji grupowej:
Temat i słowa kluczowe:
fault detection ; dynamic neural networks ; non-linear modelling ; learning algorithms ; FL-classifier ; two-tank system
Abstract:
A fault diagnosis scheme for unknown nonlinear dynamic systems with modules of residual generation and residual evaluation is considered. Main emphasis is placed upon designing a bank of neural networks with dynamic neurons that model a system diagnosed at normal and faulty operating points. ; To improve the quality of neural modelling, two optimization problems are included in the construction of such dynamic networks: searching for an optimal network architecture and the network training algorithm. To find a good solution, the effective well-known cascade-correlation algorithm is adapted here. ; The residuals generated by a bank of neural models are then evaluated by means of pattern classification. To illustrate the effectiveness of our approach, two applications are presented: a neural model of Narendra's system and a fault detection and identification system for the two-tank process.
Wydawca:
Zielona Góra: Uniwersytet Zielonogórski
Data wydania:
Typ zasobu:
Strony:
Źródło:
AMCS, volume 9, number 3 (1999) ; kliknij tutaj, żeby przejść