Course: Diagnostics and Monitoring of Electrical Machines
Code: 3ФЕИТ02003
ECTS points: 6 ECTS
Number of classes per week: 3+0+0+3
Lecturer: Prof. Dr. Krste Najdenkoski
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.
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.
Literature:
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Required Literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
M. Hammer, M. Šimková, M. Ministr | Artificial Intelligence in Diagnostics of Electric Machines | Springer Berlin Heidelberg | 2009 |
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2 |
F.A. Sturm | Efficient Operations – Intelligent Diagnosis and Maintenance | VGB PowerTech Service GmbH, Essen | 2003 |
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Additional Literature |
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No. |
Author |
Title |
Publisher |
Year |
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1 |
K. Harker | System Commissioning and Maintenance Practice | The Institution of Electrical Engineers, London, UK | 1998 |
