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Academic Year 2023/2024
Name Dott. - MI (1383) Ingegneria Meccanica / Mechanical Engineering
Programme Year 1

Course Details
ID Code 061849
Course Title INTRODUCTION TO FAULT DIAGNOSIS AND PROGNOSIS FOR MECHANICAL ENGINEERING SYSTEMS
Course Type MONO-DISCIPLINARY COURSE
Credits (CFU / ECTS) 5.0
Course Description Industry 4.0 has enabled the automation process improvements and decision making based on the collection of large amounts of plant data. Due to the economic advantages of maintenance optimization, there is significant interest from both academia and industry on the topic of fault detection and prognostics for complex systems. The objective of this course is to address fundamental concepts of fault detection and diagnosis and prognosis based on model-based or data-driven methodologies. The course objectives are to familiarize students with - fundamental concepts of fault, failure, detection, diagnosis, prognosis, reliability; analytical techniques for fault diagnosis; neural networks, fuzzy logic and evolutionary algorithm; introduction to fault-tolerant control, its challenges and its application; IoT onboarding and process monitoring and optimization cloud-based systems with KIS.ME (kisme.com); applications in a variety of problems in mechanical engineering.
Scientific-Disciplinary Sector (SSD) --

Details
Alphabetical group Professor Teaching Assignment Details
From (included) To (excluded)
A ZZZZ Karimi Hamid Reza, Sulikowski Bartlomiej Feliks
manifestidott v. 1.9.2 / 1.9.2
Area Servizi ICT
28/05/2024