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.
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
Final mark = 50% Knowledge + 50% Know-how Knowledge = final exam Know-how = average mark issued from 3 reports from BE