INDUSTRIAL SYSTEMS DIAGNOSTICS AND PROGNOSTICS
Course objectives
Obiettivi generali The class aims at providing the students with a systematic overview on energy and industry systems diagnostic and prognostic methods Special emphasis will be given to energy transition related technologies (energy ambit) as well as to the O&M perspectives opened by the digital transformation in industrial processes and technologies. Obiettivi specifici Fundamentals of maintenance engineering approaches, fault isolation and detection and fault anticipation. Know-how on failure analysis techniques. Introductory-to-advanced knowledge on Python programming for data analytics and ML on sensor network time series.
- Lesson code10609410
- Academic year2025/2026
- CourseGreen Industrial Engineering for Sustainable Development
- CurriculumGREEN TECHNOLOGIES
- Year2nd year
- Semester1st semester
- SSDING-IND/08
- CFU6