Object
Title: Parameter estimation based fault detection and isolation in Wiener and Hammerstein systems
Contributor:
Korbicz, Józef (1951- ) - red. ; Patton, Ronald J. - red.
Subtitle:
Group publication title:
Abstract:
Fault detection and isolation in Wiener and Hammerstein systems via generation and processing of residual sequences is considered. We assume that some models of the unfaulty Wiener and Hammerstein systems under consideration are known. For Wiener systems, we also assume that their static nonlinear subsystems are invertible. ; Then, based on a serial-parallel definition of the residual error, new fault detection and isolation methods are proposed. To detect and identify all the changes in both the Wiener and Hammerstein system parameters, the sequences of residuals are processed by using linear regression methods or a neural network approach.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
Pages:
Source:
AMCS, volume 9, number 3 (1999) ; click here to follow the link
Language:
Rights:
Biblioteka Uniwersytetu Zielonogórskiego
Object collections:
- Digital Library of Zielona Góra > Repository > Faculties > Faculty of Computer, Electrical and Control Engineering
- Digital Library of Zielona Góra > Repository > Types of work > Articles
- Digital Library of Zielona Góra > Repository > Scientific journals and UZ publishing series > International Journal of Applied Mathematics and Computer Science (AMCS)
- Digital Library of Zielona Góra > 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:
Nov 5, 2024
In our library since:
Jan 22, 2021
Number of object content hits:
79
All available object's versions:
https://www.zbc.uz.zgora.pl/publication/64810
Show description in RDF format:
Show description in OAI-PMH format:
-
International Journal of Applied Mathematics and Computer Science (AMCS)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 25 (2015)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 22 (2012)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 21 (2011)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 20 (2010)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 19 (2009)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 18 (2008)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 17 (2007)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 16 (2006)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 15 (2005)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 13 (2003)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 12 (2002)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 11 (2001)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 10 (2000)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 9 (1999)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 9, number 1 (1999)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 9, number 2 (1999)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 9, number 3 (1999)
- Artificial intelligence approaches to fault diagnosis for dynamic systems
- Dynamic neural networks for process modelling in fault detection and isolation systems
- Development of dynamic neural networks with application to observer-based fault detection and isolation
- CMAC and its extensions for efficient system modelling
- Neural network evaluation of model-based residuals in fault detection of time delay systems
- Application of sensitivity theory to fuzzy logic based FDI
- Fuzzy-logic fault isolation in large-scale systems
- Fuzzy-logic fault diagnosis of industrial process actuators
- An expert system coupled with a hierarchical structure of fuzzy neural networks for fault diagnosis
- Evolutionary multi-objective Pareto optimisation of diagnostic state observers
- Parameter estimation based fault detection and isolation in Wiener and Hammerstein systems
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 9, number 4 (1999)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 9, number 1 (1999)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 8 (1998)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 7 (1997)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 6 (1996)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 5 (1995)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 4 (1994)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 3 (1993)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 2 (1992)
-
International Journal of Applied Mathematics and Computer Science (AMCS),volume 1 (1991)
-
International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
| Edition name | Date |
|---|---|
| Parameter estimation based fault detection and isolation in Wiener and Hammerstein systems | Nov 5, 2024 |
