| Autor: |
Straka Ondřej, Punčochář Ivo |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
International Journal of Applied Mathematics and Computer Science, Vol 30, Iss 2, Pp 239-249 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
2083-8492 |
| DOI: |
10.34768/amcs-2020-0019 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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