| Title |
Galios transformatorių gedimų tyrimas intelektiniu metodu / |
| Translation of Title |
Fault prognostication of power transformers using intellectual method. |
| Authors |
Venckus, Andrius |
| Full Text |
|
| Pages |
69 |
| Keywords [eng] |
power transformer fault ; intellectual methods ; forecasting |
| Abstract [eng] |
Power transformer fault prediction important task to ensure a reliable power supply and the entire power system. Timely identification and removal of the fault causes can save you money, time and human resources. Increasingly used to predict failures intellectual methods that are constantly evolving. The study analyzes the reading of the final thesis, calculated traditional dissolved gas analysis methods for determining the efficiency of power transformer failures. It is also carried out artificial neural network forecasting method of application failures feasibility study, which sets out the basic principles and network parameters appended conclusions. |
| Dissertation Institution |
Kauno technologijos universitetas. |
| Type |
Master thesis |
| Language |
Lithuanian |
| Publication date |
2017 |
