CODE | 101140 |
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ACADEMIC YEAR | 2022/2023 |
CREDITS |
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SCIENTIFIC DISCIPLINARY SECTOR | ING-IND/32 |
LANGUAGE | English |
TEACHING LOCATION |
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SEMESTER | 1° Semester |
TEACHING MATERIALS | AULAWEB |
The course aims to give an overview of the main electrical machines and drive systems used on ships along with their diagnostic and maintenance. The basic working principles AC electrical machines and power electronics system will be presented from a theoretical and practical point of view.
Provide elements on the electrical equipment construction for low and high voltage applications. Provide the elements for diagnostics and maintenance of electromechanical components.
At the end of the course the student is expected:
Furthermore the student is expected to learn the principles of the maintenance of electrical equipment by predictive diagnostics techniques for early detection of failure conditions. In particular, proactive and predictive maintenance through measurements related to insulation systems and specifically by partial discharge measurements. The student is also expected to understand the Implementation of digital measurement techniques for the acquisition of PD Pattern and the use of static analysis of acquired data for the morphological identification of defects.
The student expected background to fully understand the content of the course is related to the basics of electric circuits, especially three phase AC systems and electromagnetism
For the part relevant to the diagnostic basic functional and constructive knowledge of electrical machines.
For the Electrical Machines part 24 hours of heoretical lectures in class and practical exercises during the lectures.
For the maintenance part 18 hours of classroom teaching and 6 hours of laboratory activities
Working students and students with certified SLD (Specific Learning Disorders), disability or other special educational needs are advised to contact the teacher at the beginning of the course to agree on teaching and examination arrangements so to take into account individual learning patterns, while respecting the teaching objectives.
The course will cover the following topics:
Fundamentals of AC electrical machines employed in shipboard systems:
Power electronics for drive systems
Insulating systems and insulating materials. Ageing. Proactive, preventive and predictive maintenance. Types of failure of transformers and rotating machines. Fault analysis and Ishikawa diagrams. Examples of detailed Ishikawa diagrams for different types of rotating machine failure. Conventional offline diagnostic techniques on insulation systems. Mechanical and electrical measures for bearing diagnostics in rotating machines. Online and offline diagnostic techniques related to stator and rotor windings of synchronous and asynchronous machines. Online and offline diagnostic techniques related to insulating systems of oil and cast resins transformers. The phenomenon of partial discharges. Measurement of partial discharges as a diagnostic tool for predictive maintenance. Low and high frequency partial discharge measurement systems for conducted and irradiated signals. Integration into the time and frequency domain. Design of the measurement impedance for quasi-integration. Analog and digital PD measurement systems. Analog signal analysis for defect detection. Data analysis in digital measurement systems. Statistical outlines. Data processing for defect detection with digital measuring systems. Defect classification and degree of hazard. Measurement systems in the case of inverter power supplies.
Notes of the Course
Electrical Insulation for Rotating Machines, Greg C. Stone et alt, IEEE PRESS
IEC standards
Office hours: By appointment arranged through email. Contact details: Andrea Formentini, DITEN, Via Opera Pia 11a, e-mail: andrea.formentini@unige.it
Office hours: By appointment arranged through email or Microsoft Teams. Contact details: francesco.guastavino@unige.it
FRANCESCO GUASTAVINO (President)
MARIO MARCHESONI
EUGENIA TORELLO
LUIS RAMON VACCARO
ANDREA FORMENTINI (President Substitute)
All class schedules are posted on the EasyAcademy portal.
Oral Exam
Date | Time | Location | Type | Notes |
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21/12/2022 | 10:00 | GENOVA | Orale | |
11/01/2023 | 10:00 | GENOVA | Orale | |
08/02/2023 | 10:00 | GENOVA | Orale | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
08/02/2023 | 10:00 | GENOVA | Esame su appuntamento | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
05/06/2023 | 09:00 | GENOVA | Esame su appuntamento | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
05/06/2023 | 09:00 | GENOVA | Orale | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
05/07/2023 | 09:00 | GENOVA | Orale | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
05/07/2023 | 09:00 | GENOVA | Esame su appuntamento | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
31/07/2023 | 09:00 | GENOVA | Esame su appuntamento | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
31/07/2023 | 09:00 | GENOVA | Orale | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
01/09/2023 | 09:00 | GENOVA | Orale | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |
01/09/2023 | 09:00 | GENOVA | Esame su appuntamento | Esame su appuntamento, contattare il docente alla email francesco.guastavino@unige.it |