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.

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ALESSANDRO CORSINI Lecturers' profile
VALERIO FRANCESCO BARNABEI Lecturers' profile
  • Lesson code10609410
  • Academic year2025/2026
  • CourseGreen Industrial Engineering for Sustainable Development
  • CurriculumGREEN TECHNOLOGIES
  • Year2nd year
  • Semester1st semester
  • SSDING-IND/08
  • CFU6