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Team

Signal automatique pour la surveillance, le diagnostic et la biomécanique
Team manager : Franck QUAINE, Pierre GRANJON

SAIGA team (Signal and Automatics for monitoring, diagnosis, and the Biomechanics) conducts research on the analysis and modelling of complex systems. The work focuses on understanding, monitoring, diagnosis and safety of industrial, natural and living biomechanical systems.

Key words: modeling, time-frequency, multi-sensor, pattern recognition, separation of sources, biomechanical models, EMG, human movement, surveillance, safety, diagnosis, prognosis

 

vignette slides SaigaTeam presentation :
Français (pdf, 119 ko)
English (pdf, 100 ko)

 

 

TOPICS of the team

Topic 1: models of signal processing for surveillance of systems

Topic 2: models for decision in surveillance and safety

Topic 3: models and signals for Biomechanics

Complex systems studied by SAIGA are the mechatronic systems, production systems, transportation or communication, and living systems. These systems are sometimes distributed. In some cases, methodologies must be autonomous and integrated, and therefore respect the constraints of embedded systems. The 3 topics of the team reflect its composition and reinforce its disciplinary coherence around signal, automatic and biomechanics. This composition is original and relies on the presence of skills in these disciplines within the team, which explains the originality of our results.

Preferred applications of SAIGA team are energy and health, fields that federate the core activity of every one on each topic.




News
CommuniquéMARCHALP : une expérimentation scientifique de la traversée des Alpes en armure se prépare à Grenoble !

Les 6 et 7 juillet 2019, une caravane composée de chevaliers en armure comme à l’époque de François 1er et du Chevalier Bayard, franchira le col de Mary à 2600 m d’altitude dans les Alpes-de-Haute-Provence pour rejoindre l’Italie.  L’objectif de l’opération : revivre et mesurer l’effort de l’Armée de 1515 avec nos moyens scientifiques actuels. Labellisé "80 ans du CNRS", le projet MARCHALP, porté par le LARHRA avec la collaboration du laboratoire biomécanique du GIPSA-lab, a été présenté à la presse ce mercredi 12 juin, en présence des partenaires.

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Last publications of team

MRL-based importance measures

Phuc Do Van, Christophe Bérenguer, Borgonovo Emanuele. MRL-based importance measures. 29th European Safety and Reliability Conference, ESREL 2019, Sep 2019, Hannover, Germany. ⟨hal-02127900⟩

Joint optimization of monitoring quality and replacement decisions in condition-based maintenance

Phuong Khanh Nguyen Thi, Phuc Do Van, Khac Tuan Huynh, Christophe Bérenguer, Antoine Grall. Joint optimization of monitoring quality and replacement decisions in condition-based maintenance. Reliability Engineering and System Safety, Elsevier, 2019, 189, pp.177-195. ⟨10.1016/j.ress.2019.04.034⟩. ⟨hal-02113548⟩

An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells

Dacheng Zhang, Piero Baraldi, Catherine Cadet, Nadia Yousfi-Steiner, Christophe Bérenguer, et al.. An ensemble of models for integrating dependent sources of information for the prognosis of the remaining useful life of Proton Exchange Membrane Fuel Cells. Mechanical Systems and Signal Processing, Elsevier, 2019, 124, pp.479-501. ⟨https://authors.elsevier.com/a/1YYb739~t0RWPs⟩. ⟨10.1016/j.ymssp.2019.01.060⟩. ⟨hal-02014907⟩


Voir toutes les publications de l'équipe dans HAL
GIPSA-lab, 11 rue des Mathématiques, Grenoble Campus BP46, F-38402 SAINT MARTIN D'HERES CEDEX - 33 (0)4 76 82 71 31