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Diagnosis test selection for distributed systems under communication and privacy constraints

Anna Sztyber^{a b c}✉, Élodie Chanthery^{d e f}✉, Louise Travé-Massuyès^{e f}✉, Gustavo Pérez-Zúñiga^{g h}✉

^aInstitute of Automatic Control and Robotics, Warsaw University of Technology, Warsaw, Poland
^bInstitute of Automatic Control and Robotics, Warsaw University of Technology, św. Andrzeja Boboli 8, 02-525, Warsaw, Poland
^cWarsaw University of Technology [Warsaw] (Pl. Politechniki 1 00-661 Warsaw - Poland)
^dINSA, Toulouse, France
^eLAAS-CNRS, Université de Toulouse, Toulouse, France
^fLAAS-DISCO - Équipe DIagnostic, Supervision et COnduite (France)
^gEngineering Department, Pontifical Catholic University of Peru, Lima, Peru
^hPUCP - Pontificia Universidad Católica del Perú = Pontifical Catholic University of Peru (Av. Universitaria 1801, San Miguel Lima 32, Pérou - Peru)
✉Corresponding author

Applied Intelligence Springer Science+Business Media2025-04-10 0 citations50 references

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TL;DRThis paper addresses the combined challenges of constrained decomposition of a large-scale system into subsystems and the selection of diagnosis tests that achieve maximal diagnosability with minimal subsystem interconnection through structural analysis and graph partitioning. (Semantic Scholar)

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Diagnosis test selection for distributed systems under communication and privacy constraints

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