Decentralized and Distributed Active Fault Diagnosis: Multiple Model Estimation Algorithms
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F20%3A43958925" target="_blank" >RIV/49777513:23520/20:43958925 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.34768/amcs-2020-0019" target="_blank" >http://dx.doi.org/10.34768/amcs-2020-0019</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.34768/amcs-2020-0019" target="_blank" >10.34768/amcs-2020-0019</a>
Alternative languages
Result language
angličtina
Original language name
Decentralized and Distributed Active Fault Diagnosis: Multiple Model Estimation Algorithms
Original language description
The paper focuses on the active fault diagnosis (AFD) of large scale systems. The multiple model framework is considered and two architectures are treated: the decentralized and the distributed one. An essential part of the AFD algorithm is the state estimation, which must be supplemented with a mechanism to achieve feasible implementation in the multiple model framework. In the paper, the generalized pseudo Bayes and the interacting multiple model estimation algorithms are considered. They are reformulated for the considered model of the large scale system. Performance of both AFD architectures is analyzed for different combinations of the multiple model estimation algorithms using a numerical example.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
International Journal of Applied Mathematics and Computer Science
ISSN
1641-876X
e-ISSN
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Volume of the periodical
30
Issue of the periodical within the volume
2
Country of publishing house
PL - POLAND
Number of pages
11
Pages from-to
239-249
UT code for WoS article
000547371600004
EID of the result in the Scopus database
2-s2.0-85090274889