- Tytuł:
- Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms
- Autorzy:
-
Straka, Ondřej
Punčochář, Ivo - Powiązania:
- https://bibliotekanauki.pl/articles/330423.pdf
- Data publikacji:
- 2020
- Wydawca:
- Uniwersytet Zielonogórski. Oficyna Wydawnicza
- Tematy:
-
fault diagnosis
large scale system
multiple model
diagnostyka błędu
system dużej skali
model wieloskładnikowy - Opis:
- The paper focuses on 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 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 interacting multiple model estimation algorithms are considered. They are reformulated for a given model of a large scale system. Performance of both AFD architectures is analyzed for different combinations of multiple model estimation algorithms using a numerical example.
- Źródło:
-
International Journal of Applied Mathematics and Computer Science; 2020, 30, 2; 239-249
1641-876X
2083-8492 - Pojawia się w:
- International Journal of Applied Mathematics and Computer Science
- Dostawca treści:
- Biblioteka Nauki
Artykuł