The teaching unit 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 teaching unit 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 teaching unit 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 teaching unit 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. Safety requirements for working on shipboard electrical systems, including the safe isolation of electrical equipment required before personnel are permitted to work on such equipment. Maintenance and repair of electrical system equipment, switchboards, electric motors, generator and DC electrical systems and equipment. Safety measures to be taken for repair and maintenance, including the safe isolation of shipboard machinery and equipment required before personnel are permitted to work on such machinery or equipment.
Notes of the teaching unit Electrical Insulation for Rotating Machines, Greg C. Stone et alt, IEEE PRESS IEC standards
Ricevimento: By appointment arranged through email. Contact details: Andrea Formentini, DITEN, Via Opera Pia 11a, e-mail: andrea.formentini@unige.it
Ricevimento: By appointment arranged through email or Microsoft Teams. Contact details: francesco.guastavino@unige.it
Ricevimento: By appointment arranged through email or Microsoft Teams. Contact details: laura.dellagiovanna@unige.it
FRANCESCO GUASTAVINO (President)
MARIO MARCHESONI
EUGENIA TORELLO
LUIS RAMON VACCARO
LAURA DELLA GIOVANNA (President Substitute)
ANDREA FORMENTINI (President Substitute)
https://corsi.unige.it/10948/p/studenti-orario
Oral Exam
The candidate must demonstrate knowledge of the subject by correctly answering the questions asked by reasoning on the covered topics
