| 1. | Course Title | Diagnostics and Monitoring of Electrical Machines | |||||||||||
| 2. | Code | 4ФЕИТ02003 | |||||||||||
| 3. | Study program | 2-EMA | |||||||||||
| 4. | Organizer of the study program (unit, institute, department) | Faculty of Electrical Engineering and Information Technologies | |||||||||||
| 5. | Degree (first, second, third cycle) | Second cycle | |||||||||||
| 6. | Academic year/semester | I/1 | 7. | Number of ECTS credits | 6.00 | ||||||||
| 8. | Lecturer | Dr Krste Najdenkoski | |||||||||||
| 9. | Course Prerequisites | ||||||||||||
| 10. | Course Goals (acquired competencies):
By successfully completing this course, the candidate will acquire competences for: condition assessment of electrical machines and transformers; analysis of the testing results; working with on-line monitoring systems. |
||||||||||||
| 11. | Course Syllabus:
Methods for diagnostics and condition assessment of electrical machines and transformers. Determination of specific electrical, insulation, vibration, acoustic and geometric parameters. Thermovision tests. Criteria for diagnostics based on the characteristic parameters. Monitoring systems for electrical machines and transformers in real time. The concept of monitoring system for electrical machines. Concept of architecture for monitoring system of electrical machines. Equipment and sensors. Monitoring system for power transformers. Determination of parameters for real-time monitoring. Structure of monitoring system for transformers. Microprocessor system for monitoring the condition of transformers – equipment and connectivity. |
||||||||||||
| 12. | Learning methods:
Lectures, project assignments, independent assignments, home learning. |
||||||||||||
| 13. | Total number of course hours | 180 | |||||||||||
| 14. | Distribution of course hours | 3 + 3 | |||||||||||
| 15. | Forms of teaching | 15.1 | Lectures-theoretical teaching | 45 hours | |||||||||
| 15.2 | Exercises (laboratory, practice classes), seminars, teamwork | 45 hours | |||||||||||
| 16. | Other course activities | 16.1 | Projects, seminar papers | 30 hours | |||||||||
| 16.2 | Individual tasks | 30 hours | |||||||||||
| 16.3 | Homework and self-learning | 30 hours | |||||||||||
| 17. | Grading | ||||||||||||
| 17.1 | Exams | 0 points | |||||||||||
| 17.2 | Seminar work/project (presentation: written and oral) | 50 points | |||||||||||
| 17.3. | Activity and participation | 0 points | |||||||||||
| 17.4. | Final exam | 50 points | |||||||||||
| 18. | Grading criteria (points) | up to 50 points | 5 (five) (F) | ||||||||||
| from 51 to 60 points | 6 (six) (E) | ||||||||||||
| from 61 to 70 points | 7 (seven) (D) | ||||||||||||
| from 71 to 80 points | 8 (eight) (C) | ||||||||||||
| from 81 to 90 points | 9 (nine) (B) | ||||||||||||
| from 91 to 100 points | 10 (ten) (A) | ||||||||||||
| 19. | Conditions for acquiring teacher’s signature and for taking final exam | 60% успех од сите предиспитни активности | |||||||||||
| 20. | Forms of assessment | Project assignments and final exam. | |||||||||||
| 21. | Language | Macedonian and English | |||||||||||
| 22. | Method of monitoring of teaching quality | Self-evaluation | |||||||||||
| 23. | Literature | ||||||||||||
| 23.1. | Required Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | M. Hammer, M. Šimková, M. Ministr | Artificial Intelligence in Diagnostics of Electric Machines | Springer Berlin Heidelberg | 2009 | |||||||||
| 2. | F.A. Sturm | Efficient Operations – Intelligent Diagnosis and Maintenance | VGB PowerTech Service GmbH, Essen | 2003 | |||||||||
| 23.2. | Additional Literature | ||||||||||||
| No. | Author | Title | Publisher | Year | |||||||||
| 1. | K. Harker | System Commissioning and Maintenance Practice | The Institution of Electrical Engineers, London, UK | 1998 | |||||||||
