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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
AnnonceArrivée de Khaoula TIDRIRI dans l'équipe SAIGA

Khaoula TIDRIRI rejoint le GIPSA-lab au 1er septembre 2019 en tant que Maître de Conférences à Grenoble INP/Ense3 (équipe SAIGA).
Ses travaux de recherche concernent la surveillance, le diagnostic et le pronostic de systèmes complexes à base de modèles/données et de méthodes hybrides.
Elle s’intéresse plus particulièrement au développement et à la mise en œuvre d'approches génériques en se basant sur plusieurs disciplines : statistique, traitement de signal, automatique et intelligence artificielle.

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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⟩

Uncertainty sensitivity assessment on the optimization of the design of complex energy systems: two complementary approaches

Amélia Nadal, Alain Ruby, Cyril Bourasseau, Delphine Riu, Christophe Bérenguer. Uncertainty sensitivity assessment on the optimization of the design of complex energy systems: two complementary approaches. 25th International Conference on Electricity Distribution - CIRED 2019, Jun 2019, Madrid, Spain. Paper #877. ⟨hal-02163292⟩


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