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ČESKÉ VYSOKÉ UČENÍ TECHNICKÉ V PRAZE
STUDIJNÍ PLÁNY
2011/2012

Database and Expert Systems in Power Engineering

Předmět není vypsán Nerozvrhuje se
Kód Zakončení Kredity Rozsah Jazyk výuky
XE15DES Z,ZK 4 2+2s
Předmět je náhradou za:
Databázové a expertní systémy v elektroenergetice (X15DES)
Přednášející:
Cvičící:
Předmět zajišťuje:
katedra elektroenergetiky
Anotace:

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.

Požadavky:
Osnova přednášek:

1. Data processing, testing of input data.

2. Data evaluation.

3. Statistical processing of data. Estimation.

4. Problems of database systems in electrical power engineering.

5. Application of database systems in electro diagnostics.

6. Database systems for discharge activity evaluation.

7. Problems of expert systems in electrical power engineering.

8. Evaluating systems with elements of artificial intelligence. Knowledge systems.

9. Rule-based expert systems. Frame-based expert systems.

10. Genetic algorithms.

11. Fuzzy logic.

12. Neural network.

13. Using of expert systems for patterns recognition.

14. Using of expert systems in electro diagnostics and for supervisory control of electricity supply system.

Osnova cvičení:

1. Data processing, data evaluation.

2. Application of database systems in electro diagnostics of rotating machines.

3. Application of database systems in electro diagnostics of non-rotating machines.

4. Application of database systems for partial discharges evaluation.

5. Problems of expert systems in electrical power engineering.

6. Application of rule-based expert systems in electro diagnostics.

7. Application of rule-based expert systems in electro diagnostics.

8. Creation of rule-based expert system for data evaluation.

9. Creation of rule-based expert system for electro diagnostics.

10. Testing of rule-based expert system.

11. Application of neural networks in electro diagnostics.

12. Application of neural networks in electro diagnostics.

13. Creation of neural network, teaching of neural network.

14. Creation of neural network for electro diagnostic application.

Cíle studia:
Studijní materiály:

1. Shapiro S.C. (Ed.): Encyclopedia of Artificial Intelligence. John Willey & Sons Publ., New York, 1990.

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

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

3. Rich E., Knight K.: Artificial Intelligence. McGraw-Hill, 1991.

4. Hecht-Nielsen, R.: Neurocomputing. Addison-Wesley, Reading, Mass. 1990.

5. Mařík V., Vlček T., Kouba Z., Katanský J., Lhotská L.: Expert System FEL-EXPERT version 3.5: Descriptions and User?s Manual. Technical Report TR-PRG-IEDS-6, FAW Linz, Hagenberg, Praha, Wien, 1992.

Poznámka:
Další informace:
Pro tento předmět se rozvrh nepřipravuje
Předmět je součástí následujících studijních plánů:
Platnost dat k 9. 7. 2012
Aktualizace výše uvedených informací naleznete na adrese http://bilakniha.cvut.cz/cs/predmet11922004.html