Object
Title: Frequency domain approach to minimizing detectable faults in FDI systems
Contributor:
Korbicz, Józef (1951- ) - red. ; Cempel, Czesław - red.
Subtitle:
Analytical and Knowledge-Based Redundancy in Fault Detection and Diagnosis
Group publication title:
Abstract:
Problems related to fault detection and isolation in uncertain dynamical systems are studied. The purpose of this study is to develop a scheme to design residual generators and furthermore to evaluate residuals. Different from the most of previous studies, the basic idea of this work is to minimize the size of detectable faults. ; This physically means that a fault will be detected even if its size may be small. With the aid of frequency domain fault detection approach, a relationship between residual generators as well as residual evaluation function and the minimum size of detectable faults is established. ; This enables us to formulate the design problems as optimization problems that are solvable by using frequency domain optimization techniques. The study reveals how far a fault could be detected using a suitable residual generator and evaluation scheme and answers some questions that have been studied over the years.
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:
- 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)
- 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:
157
All available object's versions:
https://zbc.uz.zgora.pl/repozytorium/publication/63837
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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 |
|---|---|
| Frequency domain approach to minimizing detectable faults in FDI systems | Nov 5, 2024 |
