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SISTHEM Research team

Statistical Inference for STructural HEalth Monitoring

  • Leader : Michèle Basseville
  • Research center(s) : CRI Rennes - Bretagne Atlantique
  • Field : Applied Mathematics, Computation and Simulation
  • Theme : Stochastic Methods and Models
  • Partner(s) : Université Rennes 1,Ecole normale supérieure de Cachan,CNRS,Institut national des sciences appliquées de Rennes
  • Collaborator(s) : U. RENNES 1, CNRS, INRIA, INSA RENNES, CENTRALESUPELEC, ENS RENNES, INSTITUT MINES-TELECOM, UBS

Team presentation

Structural Health Monitoring (SHM) is the whole process of the design, development and implementation of techniques for the detection, localization and estimation of damages, for monitoring the integrity of structures and machines within the aeronautic, civil and mechanical engineering infrastructures.

SHM is now also spreading over most transportation (naval, railway and automobile) infrastructures and vehicles. This calls for new research investigations within the sensor data information processing community. In particular, efficient and robust methods for structural analysis, non destructive evaluation, integrity monitoring, damage diagnostics and localization, are necessary for fatigue and aging prevention, and for condition-based maintenance.

In this context, and based on our background on model-based statistical methods, our objectives are the incorporation of additional model-based knowledge about the physics (thermodynamics, aerodynamics) within statistical inference tools (identification, detection, rejection), and the investigation of the complexity, efficiency and robustness of the resulting algorithms.

Research themes

  • Structural identification
  • Damage detection, localization and diagnostics
  • Robustness to environmental effects, such as the temperature
  • Flight flutter monitoring
  • Sensor positioning and damage detectability

Application domains

  • Aeronautics
  • Civil and mechanical engineering

International and industrial relations

  • Current actions
    • FP7 NMP CP-IP IRIS (Integrated European Industrial Risk Reduction System)
    • Collaboration with The University of British Columbia (CA), Structural Vibration Solutions, and TVP Structural Vibration Specialists (CA)
    • Project MODIPRO within the framework of the Pôle de Compétitivité Aérospatial ASTech Paris Région
    • Project with SNECMA
    • Collaboration with Katholieke Universiteit Leuven (B)
    • Collaboration with LCPC (Metrology and Instrumentation division)
    • Joint investigations with Vrije Universiteit Brussel (B), Minho University (PT), Harbin Institute of Technology (PRC), Aalborg University (DK), and Université Libre de Bruxelles (B)
    • SAMCO association
    • FWO research network ICCoS (Identification and Control of Complex Systems)
  • Past actions
    • Eurêka project FliTE2
    • Eurêka project FliTE
    • Eurêka project SINOPSYS
    • FP5 Growth thematic network SAMCO
    • FP5 TMR network ERNSI (System Identification)
    • COST F3 (Structural Dynamics)
    • ACI S&I project CONSTRUCTIF
    • Project with EADS-Astrium (Space Transportation division) and CNES

    Keywords: Coupling models and data Monitoring Statistics Vibrations