Programma
14.00: Apertura del Seminario.
Intro to Python, including numpy,
Pandas, matplotly, etc. [1/2 hour]
1.0 Prognostics and Health Management (PHM) with emphasis on
Maintenance Applications and Data-Driven (Machine Learning)
methods [3 hours]
a. Anomaly Detection – fundamentals and application examples
b. Fault Diagnostics, Detection
Fundamentals & Application Examples
c. Fault Prognostics, Prediction
Fundamentals and Application Examples
2. Basic concepts and examples of Deep Learning applications [1 hour]
3. Discussion on Project goals and potential challenges [1/2 hour]
19.00: Chiusura del Seminario.