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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.





Last publications of team

Health management of industrial vehicles and fleet maintenance optimization: taking into account operation constraints and mission planningGestion de l'état de santé de véhicules pour la maintenance de flotte : prise en compte des contraintes opé

Elodie Robert. Health management of industrial vehicles and fleet maintenance optimization: taking into account operation constraints and mission planning. Automatic. Communauté Universite Grenoble Alpes, 2019. English. ⟨tel-02514920⟩

Detection and localization of a gear fault using automatic continuous monitoring of the modulation functions

Xavier Laval, Nadine Martin, Pascal Bellemain, C. Mailhes. Detection and localization of a gear fault using automatic continuous monitoring of the modulation functions. WCCM 2019 - Second World Conference on Condition Monitoring, Dec 2019, Singapore, Singapore. ⟨hal-02327201⟩

A comparative performance evaluation framework for power based wind turbine fault detection methods

Usama Aziz, Sylvie Charbonnier, Christophe Bérenguer, Alexis Lebranchu, Frédéric Prevost. A comparative performance evaluation framework for power based wind turbine fault detection methods. WindEurope Offshore 2019, Nov 2019, Copenhagen, Denmark. ⟨hal-02391923⟩


Voir toutes les publications de l'équipe dans HAL
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