Diagnostic and Monitoring of Machines and Drives

Course Description

Typical faults and diagnosis of electrical devices. "ON-line", Off-line and "In Situ" testing of electrical equipment. Electrical equipment and drives basic monitoring and quality ensurance in operation conditions. Laboratory and serial factory testing. Modeling and defects simulation. Large electrical machines "ON-line" diagnosis. New diagnostic methods and technologies for assesment and monitoring of electrical machines and transformers. Artificial intelligence in monitoring. Automated testing.

General Competencies

Practical knowledge about methods and techiques testing electrical machines and drives is result of this course. Students are tained for testing machines and drives in lab and in situ. Practical experience about automated testing (protocol, aquisation, analyse) is achived. Analyse of new diagnostic methods . Knowledge about concept and realisation of monitoring.

Learning Outcomes

  1. define fault states of electrical equipment, specially electrical machines
  2. classify basic diagnostic methods
  3. estimate level and type of fault, and suitable diagnostic method for its determination
  4. apply several different diagnostic methods while dealing with problem on specific object
  5. combine results of different diagnostic methods for the purpose of more reliable determination of real cause of fault
  6. evaluate suitability, efficiency, and results of applied diagnostic method on specific example in laboratory
  7. modify known, learned methods for application in specific cases in laboratory and in situ

Forms of Teaching

Lectures

In 5 lectures, 2 hours each.

Exams

preparation of laboratory exercises, oral exam, middle exam

Laboratory Work

Six laboratory exercises, three hours each and one laboratory exercise in duration of two hours (one laboratory exercise could be replaced with visit).

Internship visits

One laboratory exercise could be replaced with visit.

Grading Method

     
Continuous Assessment Exam
Type Threshold Percent of Grade Threshold Percent of Grade
Laboratory Exercises 60 % 42 % 60 % 49 %
Homeworks 60 % 12 % 60 % 14 %
Mid Term Exam: Written 60 % 9 % 0 %
Final Exam: Oral 37 %
Exam: Oral 37 %

Week by Week Schedule

  1. Introduction and typical faults of electrical machines and devices
  2. Diagnostic methods
  3. Electric drives quality ensurance in operation conditions
  4. Large electrical machines "ON-line" diagnosis
  5. Monitoring and automated testing.
  6. Lab 1
  7. Lab 2
  8. Middle exam
  9. Lab 3
  10. Lab 4
  11. Lab 5
  12. Lab 6
  13. Lab 7
  14. Lab 8
  15. Final exam

Study Programmes

University graduate
Electrical Engineering Systems and Technologies (profile)
Specialization Course (3. semester)

Literature

Peter Tavner, Li Ran, Jim Penman, Howard Sedding (2008.), Condition Monitoring of Rotating Electrical Machines, The Institution of Engineering and Technology, London United Kingdom
P. Vas (1993.), Parametar Estimation Condition Monitoring and Diagnosis of Electrical Machines, Clarendon Press
Nernberg W. (1987.), Prufung elektrischer Maschinen, Springer
Sergey E. Lyshevski (2000.), Electromechanical Systems, Electric Machines, and Applied Mechatronics, CRC Press

Laboratory exercises

General

ID 91830
  Winter semester
4 ECTS
L1 English Level
L1 e-Learning
10 Lectures
0 Exercises
20 Laboratory exercises
0 Project laboratory

Grading System

86 Excellent
71 Very Good
61 Good
50 Acceptable