Electrical Machines (15 cr)
Code: TX00FA04-3004
General information
- Enrollment
-
02.12.2024 - 31.12.2024
Registration for the implementation has ended.
- Timing
-
13.01.2025 - 16.03.2025
Implementation has ended.
- Number of ECTS credits allocated
- 15 cr
- Local portion
- 15 cr
- Mode of delivery
- On-campus
- Unit
- (2019-2024) School of Smart and Clean Solutions
- Campus
- Leiritie 1
- Teaching languages
- Finnish
- Degree programmes
- Electrical and Automation Engineering
- Teacher in charge
- Raisa Kallio
- Course
- TX00FA04
Implementation has 29 reservations. Total duration of reservations is 71 h 30 min.
Time | Topic | Location |
---|---|---|
Mon 13.01.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC136
Sähkökonelaboratorio
MMA124 Oppimistila |
Tue 14.01.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC308
Oppimistila
|
Wed 15.01.2025 time 17:00 - 18:30 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 15.01.2025 time 18:45 - 20:15 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Mon 20.01.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC136
Sähkökonelaboratorio
|
Tue 21.01.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 22.01.2025 time 17:00 - 18:30 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 22.01.2025 time 18:45 - 20:15 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Mon 27.01.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC136
Sähkökonelaboratorio
|
Tue 28.01.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 29.01.2025 time 17:00 - 18:30 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Mon 03.02.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC136
Sähkökonelaboratorio
|
Tue 04.02.2025 time 17:00 - 20:15 (3 h 15 min) |
Itseopiskelu: Sähkökoneet TX00FA04-3004 |
|
Wed 05.02.2025 time 17:00 - 18:30 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 05.02.2025 time 18:45 - 20:15 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Mon 10.02.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC136
Sähkökonelaboratorio
|
Tue 11.02.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 12.02.2025 time 17:00 - 18:30 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 12.02.2025 time 18:45 - 20:15 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Mon 24.02.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC136
Sähkökonelaboratorio
|
Tue 25.02.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 26.02.2025 time 17:00 - 18:30 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 26.02.2025 time 18:45 - 20:15 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Mon 03.03.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC136
Sähkökonelaboratorio
|
Tue 04.03.2025 time 17:00 - 20:15 (3 h 15 min) |
Itseopiskelu: Sähkökoneet TX00FA04-3004 |
|
Wed 05.03.2025 time 17:00 - 18:30 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Mon 10.03.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
MMC136
Sähkökonelaboratorio
|
Tue 11.03.2025 time 17:00 - 20:15 (3 h 15 min) |
Sähkökoneet TX00FA04-3004 |
Online
|
Wed 12.03.2025 time 17:00 - 18:30 (1 h 30 min) |
Sähkökoneet TX00FA04-3004 |
MMC375
Oppimistila
|
Objective
The student knows the most common types of electrical machines and understands their operating principles and applications.
The student is familiar with the basic terminology and standards for electrical machines and is able to analyze the nameplate values.
The student understands the principles of using mathematical equivalent circuits and calculating machine performance values.
The student knows the fundaments of starting and dimensioning electrical machines considering electrical, mechanical and thermal aspects and is capable of designing a direct-on-line drive with the necessary control and protection equipment.
The student knows basics of power electronics.
Content
1. Transformers as part of the electrical system: standards, structures, operation and dimensioning
2. Electric motors and generators: standards, structures and operating principles
3. Magnetic circuit operation and equivalent circuits
4. Dimensioning, control and protection of the motor drive
5. Power electronics
Location and time
Spring 2025 (first period)
Materials
Material given by lecturer(s)
Teaching methods
Lectures, laboratory works, group works, simulation exercises, individual tasks
Student workload
One credit corresponds to 27 hours of work, thus 15 credits = 405 h
Evaluation scale
0-5
Assessment criteria, satisfactory (1)
The student has achieved the course objectives fairly. The student will be able to identify, define and use the course subject area’s concepts and models. The student understands the criteria and principles of the expertise development. The student has completed the required learning exercises in minimum requirement level. His/her competences have developed in a way that he/she may complete the remaining studies in electrical engineering and automation technology and finally work in a suitable job position related to this field.
Assessment criteria, good (3)
The student has achieved the course objectives well, even though the knowledge and skills need improvement on some areas. The student has completed the required learning exercises in good or satisfactory level. The student is able to define the course concepts and models and is able to justify the analysis. The student is able to apply their knowledge in study and work situations. The student understands the importance of expertise in the field of electrical engineering and automation technology and is able to analyze his/her own expertise.
Assessment criteria, excellent (5)
The student has achieved the objectives of the course with excellent marks. The student master commendably the course subject area’s concepts and models. The student has completed the required learning exercises in good or excellent level. The student is able to make justified and fluent analysis and to present concrete development measures. The student is well prepared to apply their knowledge study and work situations. Students are able to analyze the expertise in electrical engineering and automation technology and the evolvement of their own expertise.
Assessment methods and criteria
Continuous assessment.
Grade Points
0 0 - 50
1 51 - 70
2 71 - 90
3 91 - 110
4 111 - 130
5 131 – 150