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HyMU: a software for Hybrid Systems Health Monitoring under Uncertainty

 Elodie Chanthery , Pauline Ribot , Amaury Vignolles
30th International Workshop on Principles of Diagnosis DX'19, Nov 2019, Klagenfurt, Austria
Communication dans un congrès hal-02886575v1
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Modeling complex systems with Heterogeneous Petri Nets (HtPN)

 Amaury Vignolles , Pauline Ribot , Elodie Chanthery
33rd International Workshop on Principle of Diagnosis – DX 2022, LAAS-CNRS-ANITI, Sep 2022, Toulouse, France
Communication dans un congrès hal-03773709v1
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A Holistic Advanced Diagnosis Approach For Systems Under Uncertainty

 Amaury Vignolles , Elodie Chanthery , Pauline Ribot
32nd International Workshop on Principle of Diagnosis – DX 2021, Sep 2021, Hamburg, Germany
Communication dans un congrès hal-03282343v1
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Hybrid Model Learning for System Health Monitoring

 Amaury Vignolles , Elodie Chanthery , Pauline Ribot
Safeprocess 2022 : 11th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Jun 2022, Paphos, Cyprus
Communication dans un congrès hal-03282377v3
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Modeling complex systems with Heterogeneous Petri Nets (HtPN)

 Amaury Vignolles , Elodie Chanthery , Pauline Ribot
2021
Pré-publication, Document de travail hal-03137722v1
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An overview on diagnosability and prognosability for system monitoring

 Amaury Vignolles , Elodie Chanthery , Pauline Ribot
EUROPEAN CONFERENCE OF THE PROGNOSTICS AND HEALTH MANAGEMENT SOCIETY ( PHM Europe), Jul 2020, (Virtual conference), Italy
Communication dans un congrès hal-02891028v2
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Apprentissage de modèles pour la gestion de santé de systèmes hybrides sous incertitudes

 Amaury Vignolles
Automatique. INSA de Toulouse, 2022. Français. ⟨NNT : 2022ISAT0027⟩
Thèse tel-03880227v2
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