<abstract xmlns="http://www.w3.org/1999/xhtml"><p>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.</p></abstract>

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.

Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms

Department of Cybernetics/European Centre of Excellence NTIS

International Journal of Applied Mathematics and Computer Science

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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 distributed active fault diagnosis: Multiple model estimation algorithms

Publié en ligne: 04 juil. 2020

Pages: 239 - 249

Reçu: 09 sept. 2019

Accepté: 06 avr. 2020

DOI: https://doi.org/10.34768/amcs-2020-0019

Mots clés
fault diagnosis, large scale systems, multiple models

© 2020 Ondřej Straka et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Decentralized and distributed active fault diagnosis: Multiple model estimation algorithms

Publié en ligne: 04 juil. 2020

Pages: 239 - 249

Reçu: 09 sept. 2019

Accepté: 06 avr. 2020

DOI: https://doi.org/10.34768/amcs-2020-0019

Mots clésfault diagnosis, large scale systems, multiple models

© 2020 Ondřej Straka et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

Mots clés
fault diagnosis, large scale systems, multiple models