Korbicz, Józef (1951- ) ; Patan, Krzysztof ; Obuchowicz, Andrzej
Contributor:Korbicz, Józef (1951- ) - red. ; Patton, Ronald J. - red.
Title:Dynamic neural networks for process modelling in fault detection and isolation systems
Subtitle: Group publication title: Subject and Keywords: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.
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: