An Integrated Framework for Diagnosis and Prognosis of Hybrid Systems

Autor: Elodie Chanthery, Pauline Ribot

Publikováno v: Electronic Proceedings in Theoretical Computer Science, Vol 124, Iss Proc. HAS 2013, Pp 14-25 (2013)

Complex systems are naturally hybrid: their dynamic behavior is both continuous and discrete. For these systems, maintenance and repair are an increasing part of the total cost of final product. Efficient diagnosis and prognosis techniques have to be

Externí odkaz: https://doaj.org/article/49cc3260b1d34254bb92a9eea99e1224

Machine Learning Based Fault Anticipation for 3D Printing*

Autor: Dorian, Voydie ^*, Louis, Goupil ^*, Elodie, Chanthery, Louise, Travé-Massuyès, Sébastien, Delautier ^*

Publikováno v: In IFAC PapersOnLine 2023 56(2):2927-2932

A Hierarchical XGBoost Early Detection Method for Quality and Productivity Improvement of Electronics Manufacturing Systems

Autor: Alexandre Gaffet, Nathalie Barbosa Roa, Pauline Ribot, Elodie Chanthery, Christophe Merle

Publikováno v: 7th European Conference of the Prognostics and Health Management Society 2022
7th European Conference of the Prognostics and Health Management Society 2022, Jul 2022, Turin, Italy

International audience; This paper presents XGBoost classifier-based methods to solve three tasks proposed by the European Prognostics and Health Management Society (PHME) 2022 conference. These tasks are based on real data from a Surface Mount Techn

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::686cdf5d6d1f25da6189246399ad5d93
https://hal.science/hal-03711267/document

Applying Active Diagnosis to Space Systems by On-Board Control Procedures

Autor: Brice Dellandrea, Louise Travé-Massuyès, Yannick Pencolé, Regis De Ferluc, Elodie Chanthery

Publikováno v: IEEE Transactions on Aerospace and Electronic Systems
IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, 2019, 55 (5), ⟨10.1109/TAES.2019.2923344⟩
IEEE Transactions on Aerospace and Electronic Systems, 2019, 55 (5), ⟨10.1109/TAES.2019.2923344⟩

The instrumentation of real systems is often designed for control purposes and control inputs are designed to achieve nominal control objectives. Hence, the available measurements may not be sufficient to isolate faults with certainty and diagnoses a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::333da6f30aaf4b5db676c3b1c2601243
https://doi.org/10.1109/taes.2019.2923344

Hybrid Particle Petri Net Based Prognosis of a Planetary Rover

Autor: Matthew Daigle, Pauline Ribot, Elodie Chanthery, Quentin Gaudel

Publikováno v: IEEE Transactions on Aerospace and Electronic Systems
IEEE Transactions on Aerospace and Electronic Systems, Institute of Electrical and Electronics Engineers, 2020, 56 (2), pp.1553-1567. ⟨10.1109/TAES.2019.2939688⟩
IEEE Transactions on Aerospace and Electronic Systems, 2020, 56 (2), pp.1553-1567. ⟨10.1109/TAES.2019.2939688⟩

International audience; This paper describes a model-based prognosis method for the health management of a planetary rover. Using a hybrid model of the rover, including a continuous part and a discrete part, a prognoser is generated that relies on th

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::56fea5249d38dfe2feec74b1467c0730
https://hal.laas.fr/hal-02316226/document