Diagnostics of Insulating Systems
Code | Completion | Credits | Range |
---|---|---|---|
15DIS | Z,ZK | 4 | 2+2s |
- Lecturer:
- Tutor:
- Supervisor:
- Department of Electroenergetics
- Synopsis:
-
Operating failure rate, sources and mechanisms. Diagnostics of insulating systems. Diagnostic methods for electrical machines and insulating oils. Measurement and evaluation of discharge activity. Applications of database and expert systems in diagnostics of electrical machines and equipment
- Requirements:
- Syllabus of lectures:
-
1.Operating failure rate, sources and mechanisms
2.Operation reliability and fail-serve methods
3.Diagnostics of insulating systems
4.Diagnostic methods for rotating electrical machines
5.Diagnostic methods for non-rotating electrical machines
6.Diagnostic methods for insulating oils
7.Classification and selection of diagnostic methods
8.Methods for evaluation of discharge activity
9.Partial discharge parameters and their evaluation
10.Partial discharges in HV insulation of electrical machines and equipment
11.Techniques of measurement of partial discharges. Problems of disturbances
12.Applications of database systems in electrodiagnostics
13.Applications of rule-based expert systems in electrodiagnostics
14.Applications of neural networks in electrodiagnostics
- Syllabus of tutorials:
-
1.Fail-serve methods for operation
2.Fail-serve methods for operation
3.Fail-serve methods for operation
4.Diagnostic methods for rotating electrical machines.
5.Diagnostic methods for rotating electrical machines.
6.Diagnostic methods for non-rotating electrical machines.
7.Diagnostic methods for insulating oils.
8.Methods for evaluation of discharge activity.
9.Partial discharge parameters and their evaluation.
10.Partial discharges in HV insulation of electrical machines and equipment.
11.Techniques of measurement of partial discharges. Problems of disturbances.
12.Applications of database systems in electrodiagnostics.
13.Applications of rule-based expert systems in electrodiagnostics.
14.Applications of neural networks in electrodiagnostics
- Study Objective:
- Study materials:
-
1. Myers, S.D. et al.: A guide to transformer maintenance. Akron (Ohio), TMI 1988.
2. König D., Rao Y.N.: Partial discharges in electrical power apparatus. VDE-Verlag, Berlin 1993.
- Note:
- Further information:
- No time-table has been prepared for this course
- The course is a part of the following study plans:
-
- Elektroenergetika-inženýrský blok (compulsory elective course)
- Elektroenergetika-inženýrský blok (compulsory elective course)