Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms
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 t...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Sciendo
2020-06-01
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| Series: | International Journal of Applied Mathematics and Computer Science |
| Subjects: | |
| Online Access: | https://doi.org/10.34768/amcs-2020-0019 |
| _version_ | 1818597869523828736 |
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| author | Straka Ondřej Punčochář Ivo |
| author_facet | Straka Ondřej Punčochář Ivo |
| author_sort | Straka Ondřej |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-16T11:54:40Z |
| format | Article |
| id | doaj.art-363e5fcc2a7a4631880eec1fdb7c2b66 |
| institution | Directory Open Access Journal |
| issn | 2083-8492 |
| language | English |
| last_indexed | 2024-12-16T11:54:40Z |
| publishDate | 2020-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | International Journal of Applied Mathematics and Computer Science |
| spelling | doaj.art-363e5fcc2a7a4631880eec1fdb7c2b662022-12-21T22:32:35ZengSciendoInternational Journal of Applied Mathematics and Computer Science2083-84922020-06-0130223924910.34768/amcs-2020-0019amcs-2020-0019Decentralized and distributed active fault diagnosis: Multiple model estimation algorithmsStraka Ondřej0Punčochář Ivo1Department of Cybernetics/European Centre of Excellence NTIS, University of West Bohemia, Univerzitní 8, 306 14 Pilsen, Czech RepublicDepartment of Cybernetics/European Centre of Excellence NTIS, University of West Bohemia, Univerzitní 8, 306 14 Pilsen, Czech RepublicThe 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.https://doi.org/10.34768/amcs-2020-0019fault diagnosislarge scale systemsmultiple models |
| spellingShingle | Straka Ondřej Punčochář Ivo Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms International Journal of Applied Mathematics and Computer Science fault diagnosis large scale systems multiple models |
| title | Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms |
| title_full | Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms |
| title_fullStr | Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms |
| title_full_unstemmed | Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms |
| title_short | Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms |
| title_sort | decentralized and distributed active fault diagnosis multiple model estimation algorithms |
| topic | fault diagnosis large scale systems multiple models |
| url | https://doi.org/10.34768/amcs-2020-0019 |
| work_keys_str_mv | AT strakaondrej decentralizedanddistributedactivefaultdiagnosismultiplemodelestimationalgorithms AT puncocharivo decentralizedanddistributedactivefaultdiagnosismultiplemodelestimationalgorithms |