Goals

To detect failure before they appear is a big challenge for any kind of complex systems. From modern car full of automation (sensors, actuators, control/command strategies) to more-electric airplanes, from industrial power plant to robotics applications, methods are needed to inform that a failure or default as appeared, appears or will appear. That course will focus on automatic detection methods based on model-based approaches or artificial intelligence approaches.

Programme

  • Context
  • Fonctional approches like FMECA (Failure Modes, Effects and Criticality Analysis)
  • Reliability
  • Diagnosis approaches:
    • model-based
      • identification
      • error detection
    • artificial intelligence
      • pattern recognition
      • clustering
      • decision rules
  • Perspectives
Study
12h
 
Course
16h
 

Code

25_I_G_S09_MOD_03_5

Responsibles

  • Emmanuel BOUTLEUX
  • Olivier ONDEL

Language

French

Keywords

Diagnosis, health monitoring, clustering, pattern recognition, FMECA