Object
Title: A survey of robustness problems in quantitative model-based fault diagnosis
Contributor:
Korbicz, Józef (1951- ) - red. ; Cempel, Czesław - red.
Subtitle:
Analytical and Knowledge-Based Redundancy in Fault Detection and Diagnosis
Group publication title:
Abstract:
Quantitative model-based fault diagnosis has become a popular issue in safety-critical systems, e.g., aircraft, spacecraft, chemical processes and nuclear plants. The use of dynamic system model information has been widely recognized as an important approach to fault detection and isolation for the case when there are no repeated hardware units. A prerequisite for reliability in model-based fault diagnosis is robust performance with respect to uncertainties. ; This paper gives a tutorial discussion of the different problems in robustness and surveys the state of the art in robust solutions for quantitative model-based fault diagnosis. The state observer with disturbance de-coupling design has been recommended as a good solution for robustness in fault diagnosis. Further research topics in robust fault diagnosis have also been outlined.
Publisher:
Zielona Góra: Uniwersytet Zielonogórski
Resource Identifier:
Pages:
Source:
AMCS, volume 3, number 3 (1993) ; 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) (1993)
Last modified:
Nov 5, 2024
In our library since:
Jul 7, 2020
Number of object content hits:
127
All available object's versions:
https://zbc.uz.zgora.pl/publication/63836
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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 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 3, number 1 (1993)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 2 (1993)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 3 (1993)
- Preface
- A survey of robustness problems in quantitative model-based fault diagnosis
- Frequency domain approach to minimizing detectable faults in FDI systems
- Fault detection in linear discrete dynamic systems using generalized-likelihood-ratio technique
- Analytical redundancy methods for diagnosing electric motors
- Problems of computer-aided data processing in machine diagnostics and monitoring
- Noise filtering in monitoring systems
- Model-based damage detection, localization and assessment of structures the extended system identification methodology
- Theory of energy transforming systems and their application in diagnostics of operating systems
- Diagnostic inference based on predicted effective trajectory
- Recognition of faults in the diagnosing process
- Group method of data handling in technical diagnostic tasks
- Frames in diagnostic reasoning
- Knowledge-based fault detection and isolation system for power plant simulator
- An expert system for diagnostics of agricultural machines
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 4 (1993)
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International Journal of Applied Mathematics and Computer Science (AMCS), volume 3, number 1 (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 |
|---|---|
| A survey of robustness problems in quantitative model-based fault diagnosis | Nov 5, 2024 |
