TY - GEN
A1 - Korbicz, Józef
A1 - Patan, Krzysztof
A1 - Obuchowicz, Andrzej
A2 - Korbicz, Józef - red.
A2 - Patton, Ronald J. - red.
PB - Zielona Góra: Uniwersytet Zielonogórski
N2 - 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.
N2 - 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.
N2 - 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.
L1 - http://www.zbc.uz.zgora.pl/Content/58184/AMCS_1999_9_3_2.pdf
L2 - http://www.zbc.uz.zgora.pl/Content/58184
KW - fault detection
KW - dynamic neural networks
KW - non-linear modelling
KW - learning algorithms
KW - FL-classifier
KW - two-tank system
T1 - Dynamic neural networks for process modelling in fault detection and isolation systems
UR - http://www.zbc.uz.zgora.pl/dlibra/docmetadata?id=58184
ER -