Testing and Diagnostics of Electric Machine

Course Description

Within the subject measurement methods for the measuring of the electrical and non-electrical quantities which are used in testing electrical machines will be covered, as well as standard testing methods and experiments for determination of the parameters of the electrical machines. Systems for monitoring and systems for the fault diagnostics of the electrical machines will be reviewed. The application of numerical models and methods will be demonstrated in order to prove the existence of the faults in the electrical machines.

Learning Outcomes

  1. Explain measurement methods for measuring electrical and non-electrical quantities with the application to the testing of electrical machines
  2. Apply measurement methods for determination of the parameters of the electrical machines
  3. Define monitoring system for the electrical machines
  4. Describe of the electrical machinery fault diagnosis systems
  5. Reproduce numerical calculations for proving the existence of the faults of the electrical machines

Forms of Teaching

Lectures

classical lectures using blackboard in combination with PowerPoint slides

Exercises

solving numerical examples related to the content of the lectures

Partial e-learning

posting study materials and communicating with students through the course website

Independent assignments

project exercises where students are solving problems, doing calculations and simulations related to the course topics on their own

Laboratory

laboratory exercises using transformers, electrical machines, and accompanying power supply and measuring equipment for the purpose of practical demonstration and confirmation of the acquired theoretical knowledge

Grading Method

Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 50 % 30 % 50 % 30 %
Seminar/Project 10 % 30 % 10 % 30 %
Final Exam: Oral 40 %
Exam: Oral 40 %

Week by Week Schedule

  1. Measurement of voltage, current and power
  2. Measurement of resistances and inductances, Testing of insulation
  3. Measurement of speed, position and torque
  4. No-load; Short-circuit; Sudden short-circuit, Load test; Temperature rise test
  5. No-load; Short-circuit; Sudden short-circuit, Measurement of induced voltage and inductance, Measurement of load angle
  6. Tests for determination of direct, inverse and zero-sequence reactance, Determination of parameters and characteristics of synchronous machines operating on power grid
  7. No-load; Short-circuit, Load test; Temperature rise test, Recording of start-up and reversal of an induction machine
  8. Midterm exam
  9. Basic principles of monitoring, Types of monitoring systems
  10. Monitoring of transformers, Monitoring of rotating machines
  11. Typical faults in various machine types
  12. Diagnostic methods for electric machines
  13. Application of numerical methods in detection of electric machine faults
  14. Application of numerical methods in detection of electric machine faults
  15. Final exam

Study Programmes

University graduate
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Computer Science (profile)
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Control Systems and Robotics (profile)
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Data Science (profile)
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Electrical Power Engineering (profile)
Free Elective Courses (2. semester)
Electric Machines, Drives and Automation (profile)
Elective Courses of the Profile (2. semester)
Electronic and Computer Engineering (profile)
Free Elective Courses (2. semester)
Electronics (profile)
Free Elective Courses (2. semester)
Information and Communication Engineering (profile)
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Network Science (profile)
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Software Engineering and Information Systems (profile)
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Literature

(.), Tavner, P., Ran, L., Penman, J. and Sedding, H., 2008. Condition monitoring of rotating electrical machines (Vol. 56). IET,
(.), Wolf, R., 1970. Ispitivanje električnih strojeva. Sveučilište, Elektrotehnički fakultet.,
(.), Toliyat, Hamid A., Subhasis Nandi, Seungdeog Choi, and Homayoun Meshgin-Kelk. Electric machines: modeling, condition monitoring, and fault diagnosis. CRC press, 2012.,

For students

General

ID 222594
  Summer semester
5 ECTS
L3 English Level
L1 e-Learning
30 Lectures
15 Exercises
13 Laboratory exercises

Grading System

86 Excellent
71 Very Good
61 Good
50 Acceptable