Object
Title: Advances in model-based fault diagnosis with evolutionary algorithms and neural networks
Contributor:
Korbicz, Józef (1951- ) - red.
Subtitle:
Soft Computing in Control and Fault Diagnosis
Group publication title:
Abstract:
Challenging design problems arise regularly in modern fault diagnosis systems. Unfortunately, the classical analyticaltechniques often cannot provide acceptable solutions to such difficult tasks. This explains why soft computing techniquessuch as evolutionary algorithms and neural networks become more and more popular in industrial applications of faultdiagnosis. The main objective of this paper is to present recent developments regarding the application of evolutionaryalgorithms and neural networks to fault diagnosis. ; In particular, a brief introduction to these computational intelligenceparadigms is presented, and then a review of their fault detection and isolation applications is performed. Close attention ispaid to techniques that integrate the classical and soft computing methods. A selected group of them is carefully describedin the paper. The performance of the presented approaches is illustrated with the use of the DAMADICS fault detectionbenchmark that deals with a valve actuator.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
Pages:
Source:
AMCS, Volume 16, Number 1 (2006) ; 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) (2006)
Last modified:
Nov 5, 2024
In our library since:
Aug 10, 2018
Number of object content hits:
173
All available object's versions:
https://zbc.uz.zgora.pl/publication/54914
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International Journal of Applied Mathematics and Computer Science (AMCS)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 25 (2015)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 24 (2014)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 23 (2013)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 22 (2012)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 21 (2011)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 20 (2010)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 19 (2009)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 18 (2008)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 17 (2007)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16, number 1 (2006)
- International Journal of Applied Mathematics and Computer Science (AMCS), volume 16, number 1 (2006) - spis treści
- Soft computing in model - based predictive control
- Fuzzy diagnostic reasoning that takes into account the uncertainty of the relation between faults and symptoms
- What is not clear in fuzzy control systems?
- On fuzzy number calculus
- Niching mechanisms in evolutionary computations
- Advances in model-based fault diagnosis with evolutionary algorithms and neural networks
- Comparison of supervised learning methods for spike time coding in spiking neural networks
- Nonlinear diagnostic filter design: algebraic and geometric points of view
- Fractional kalman filter algorithm for the states, parameters and order of fractional system estimation
- An extension of the cayley?hamilton theorem for nonlinear time-varying systems
- Optimal erasures in decision-feedback equalization for the gaussian noise
- Refinement of uml collaborations
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16, number 2 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16, number 3 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16, number 4 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 16, number 1 (2006)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 15 (2005)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 13 (2003)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 12 (2002)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 11 (2001)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 10 (2000)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 9 (1999)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 8 (1998)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 7 (1997)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 6 (1996)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 5 (1995)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 4 (1994)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 3 (1993)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 2 (1992)
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International Journal of Applied Mathematics and Computer Science (AMCS),volume 1 (1991)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 26 (2016)
| Edition name | Date |
|---|---|
| Advances in model-based fault diagnosis with evolutionary algorithms and neural networks | Nov 5, 2024 |
