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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

Efficient Mining of Temporal Safety Properties for Intrusion Detection in Industrial Control Systems

Oualid Koucham, Stéphane Mocanu, Guillaume Hiet, Jean-Marc Thiriet, Frédéric Majorczyk. Efficient Mining of Temporal Safety Properties for Intrusion Detection in Industrial Control Systems. SAFEPROCESS 2018 - 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes, Aug 2018, Warsaw, Poland. pp.1-8. 〈hal-01877109〉

An architecture for controlling the remaining useful lifetime of a friction drive system

Diego Rodriguez Obando, John Jairo Martinez Molina, Christophe Bérenguer. An architecture for controlling the remaining useful lifetime of a friction drive system. 10th IFAC Symposium on Fault Detection, Supervision and Safety for Technical Processes (SAFEPROCESS'18), Aug 2018, Warsaw, Poland. 〈hal-01870552〉

Proton exchange membrane fuel cell remaining useful life prognostics considering degradation recovery phenomena

Dacheng Zhang, Catherine Cadet, Nadia Yousfi-Steiner, Christophe Bérenguer. Proton exchange membrane fuel cell remaining useful life prognostics considering degradation recovery phenomena. Proceedings of the Institution of Mechanical Engineers, Part O: Journal of Risk and Reliability, SAGE Publications, 2018, 232 (4), pp.415 - 424. 〈10.1177/1748006X18776825〉. 〈hal-01885664〉


Voir toutes les publications de l'équipe dans HAL
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