Pregled bibliografske jedinice broj: 490678
Practical verification of DGA automatic diagnosis for power transformers with new VEV method for second level of diagnosis resolution
Practical verification of DGA automatic diagnosis for power transformers with new VEV method for second level of diagnosis resolution // Proceedings of the 2010 International Conference on Condition Monitoring and Diagnosis
Tokyo: CMD 2010, 2010. str. 938-941 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 490678 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Practical verification of DGA automatic diagnosis for power transformers with new VEV method for second level of diagnosis resolution
Autori
Banović, Mladen ; Sanchez, Jean ; Belmiloud, Mohamed
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the 2010 International Conference on Condition Monitoring and Diagnosis
/ - Tokyo : CMD 2010, 2010, 938-941
ISBN
978-4-88686-070-5
Skup
International Conference on Condition Monitoring and Diagnosis 2010
Mjesto i datum
Tokyo, Japan, 06.09.2010. - 11.09.2010
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
transformer; oil; dissolved gas analysis; interpretation; artificial intelligence; VEV inference method
Sažetak
Power transformers are key components of transmission and distribution system. Hence, knowing their health is very important for safe and reliable operation of power system. Many diagnostic techniques are used for assessment of transformer state. One of them is a dissolved gas analysis (DGA), which comprises measurement of concentrations of gases dissolved in transformer oil and interpretation of these concentrations, i.e. assessment of the condition, or health. Focus of this paper is on interpretation of DGA results. New method, based on artificial intelligence techniques, is developed. It is trained, tested and verified on real cases of transformer faults, and very good results are obtained. Method and verification results are described here.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
Profili:
Mladen Banović
(autor)