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| Academic Year |
2024/2025 |
| Name |
Dott. - MI (1383) Ingegneria Meccanica / Mechanical Engineering |
| Programme Year |
1 |
| 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)
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Alphabetical group
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Name
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Teaching Assignment Details
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From (included)
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To (excluded)
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A
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ZZZZ
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Karimi Hamid Reza, Witczak Marcin Stefan
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