Digital Library of Zielona Góra contains 9 272 digital objects
Object
Title: Dynamic neural networks for process modelling in fault detection and isolation systems
Contributor:
Korbicz, Józef (1951- ) - red. ; Patton, Ronald J. - red.
Subtitle:
Group publication title:
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
Resource Identifier:
Pages:
Source:
AMCS, volume 9, number 3 (1999) ; click here to follow the link
Language:
License CC BY 4.0:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Repository > Types of work > Articles
- Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS) > International Journal of Applied Mathematics and Computer Science (AMCS) (1999)
Last modified:
Jul 14, 2025
In our library since:
Jan 22, 2021
Number of object content hits:
250
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/64801
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| Edition name | Date |
|---|---|
| Dynamic neural networks for process modelling in fault detection and isolation systems | Jul 14, 2025 |
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