Active fault diagnosis for stochastic large scale systems under non-separable costs
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43969687" target="_blank" >RIV/49777513:23520/24:43969687 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.automatica.2023.111348" target="_blank" >https://doi.org/10.1016/j.automatica.2023.111348</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.automatica.2023.111348" target="_blank" >10.1016/j.automatica.2023.111348</a>
Alternative languages
Result language
angličtina
Original language name
Active fault diagnosis for stochastic large scale systems under non-separable costs
Original language description
The paper focuses on active fault diagnosis of stochastic large-scale systems decomposed into several coupled subsystems, where the subsystem fault-free and faulty behavior is described in the multiple-model framework. In the active approach, the detector generates optimal excitation input to improve the diagnosis. This paper proposes a solution to the problems with cost functions in a generally non-separable form. Unlike the separable form, the generally non-separable form facilitates penalizing missed detections, false alerts, and incorrect, false identifications involving several subsystems simultaneously. Three approaches are proposed to treat such cost functions in the offline stage of the active fault diagnosis algorithm. Their performance is illustrated using a simple example and an elaborate example involving a power network system.
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
<a href="/en/project/GA22-11101S" target="_blank" >GA22-11101S: Tensor Decomposition in Active Fault Diagnosis for Stochastic Large Scale Systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Automatica
ISSN
0005-1098
e-ISSN
1873-2836
Volume of the periodical
159
Issue of the periodical within the volume
JAN 2024
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
9
Pages from-to
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UT code for WoS article
001102728500001
EID of the result in the Scopus database
2-s2.0-85175268259