The course intends to present the scope, the architecture, the enabling technologies, the design process and the performance metrics used in System Health Management, highlighting the relationship between traditional safety and reliability engineering methods and more recent approaches in detecting, diagnosing and predicting failures of complex engineering systems.

servosystems, actuators, sensors, systems engineering, controlled systems

1) FUNDAMENTALS 1.1: Background and objectives 1.2: Definitions 1.3: Functions and requirements 1.4: Reference architecture 1.5: Summary of enabling technologies 2) SENSING AND DATA PROCESSING 2.1: Transducing principles 2.2: Sensors placement 2.3: Virtual sensors 2.4: Smart sensors 2.5: Data processing 2.6: Use cases of signals analysis for health assessment: gears, bearings, lubricants 3) PROGNOSTICS AND HEALTH MANAGEMENT (PHM) 3.1: Faults monitoring, diagnosis and prognosis framework 3.2: Methodologies for fault diagnosis 3.3: Methodologies for failure prognosis 3.4: Performance metrics 3.5: Data mining 3.6: Use case: PHM applied to aircraft fight control actuators 4) SYSTEMS HEALTH MANAGEMENT APPLIED TO VEHICLES (IVHM) 4.1: IVHM design 4.2: Fleet user requirements 4.3: Operational scenario 4.4: End-to-end system 4.5: Vehicle level reasoning system 4.6: Autonomic logistic support

On site

Team project work development

P.D.2-2 - April