Database and Expert Systems in Power Engineering

The course is a substitute for:

Database and Expert Systems in Electrical Power Engineering (X15DES)

Lecturer:

Tutor:

Supervisor:

Department of Electroenergetics

Synopsis:

Database systems in power engineering. Information processing. Data evaluation. Data testing and statistical data processing. Estimation. Utilization of database systems in electrodiagnostics of electrical machines and equipment. Utilization of database systems for evaluation of discharge activity. Expert systems in power engineering. Applications of rule-based expert systems and neural networks in power engineering, electrical power engineering and diagnostics of insulating systems.

Requirements:

Syllabus of lectures:

1.Problems of database systems in electrical power engineering.

2.Information processing. Data evaluation.

3.Input data testing, statistical data processing. Estimation.

4.Applications of database systems in diagnostics of rotating machines.

5.Applications of database systems in diagnostics of non-rotating machines.

6.Applications of database systems in evaluation of discharge measurement.

7.Applications of database systems in control of electrical supply system.

8.Problems of expert systems in power engineering.

9.Applications of rule-based expert systems in electrical power engineering.

10.Applications of rule-based expert systems in electrodiagnostics.

11.Applications of rule-based expert systems in electrodiagnostics.

12.Applications of neural expert systems in electrical power engineering.

13.Applications of expert systems in pattern recognition.

14.Applications of expert systems in control of power systems

Syllabus of tutorials:

1.1- 2. Information processing. Data evaluation.

3. Input data testing, statistical data processing. Estimation.

4. Applications of database systems in electrodiagnostics of electrical machines.

5. Applications of database systems in diagnostics of non-rotating machines.

6. Applications of database systems in evaluation of discharge measurement.

7. Applications of database systems in electric supply system control.

8. - 9. Applications of rule-based expert systems in electrical power engineering.

10. - 11. Applications of expert systems in electrodiagnostics.

12. Applications of neural networks in electrical power engineering.

13. Applications of expert systems in pattern recognition.

14. Applications of expert systems in dispatch control of electric supply system.

Study Objective:

Study materials:

C. J. Date :An Introduction to Database Systems. Addison Wesley .1995

A.M. Tjoa :Database and Expert Systems Applications. Springer .1990

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)