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.

ingegneria dei sistemi, sistemi controllati, attuatori, sensori, servosistemi

1) Fundamental concepts (3 hours) 1.1 Background and objectives 1.2 Definitions 1.3 General framework 1.4 Technological challenges 1.5 Sensors and Uncertainty Characterization 2) Dynamic Simulation for PHM/Advanced Simulation concepts (3 hours) 3) Advanced Simulation concepts/Case study presentation (3 hours) 4) Case study modeling and simulation (exercise class – 3 hours) 5) Feature Extraction and Fault Diagnosis (3 hours) 5.1 “Expert” feature selection 5.2 “Data-driven” feature selection 5.3 Fault detection algorithms 5.4 Fault classification algorithms 6) Failure Prognosis (3 hours) 6.1 Fundamental issues 6.2 Physics-based approach 6.3 Data-Driven approach 6.4 Hybrid approach 6.5 Industrial case studies 7) PHM study for the case study (exercise class – 3 hours)

In presenza

Sviluppo di project work in team

P.D.2-2 - Aprile