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Wyszukujesz frazę "transformer fault diagnosis" wg kryterium: Temat


Wyświetlanie 1-2 z 2
Tytuł:
Characterization of surface type partial discharges using electrical, acoustic emission and UHF methods
Autorzy:
Kunicki, M.
Cichoń, A.
Powiązania:
https://bibliotekanauki.pl/articles/114691.pdf
Data publikacji:
2015
Wydawca:
Stowarzyszenie Inżynierów i Techników Mechaników Polskich
Tematy:
partial discharges
PD measurements
UHF method
AE method
IEC60270
transformer fault diagnosis
Opis:
This paper presents research results related to measurements of partial discharges (PD), which may occur in oil insulation systems of electric power transformers. Three measuring methods were considered: electrical (apparent charge - IEC60270), acoustic emission (AE) and ultra-high frequency (UHF) method. Research works have been proceeded under laboratory condition. PD were generated using special apparatus and spark gap configuration for surface PD modeling. Measurements were performed simultaneously for each of the regarded methods and were repeated for selected supply voltage levels. The electrical and UHF methods measurements were made using MPD measuring system from Omicron. The AE method measurements were made using a piezoelectric transducer, which was installed on the outer transformer tank wall. Comparative analysis of signals gathered during research works was made. Possibilities of application of the three considered PD detection methods for electric power systems with oil insulation were proposed in the paper.
Źródło:
Measurement Automation Monitoring; 2015, 61, 1; 12-15
2450-2855
Pojawia się w:
Measurement Automation Monitoring
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Fault diagnosis of power transformer based on improved particle swarm optimization OS-ELM
Autorzy:
Li, Yuancheng
Ma, Longqiang
Powiązania:
https://bibliotekanauki.pl/articles/140428.pdf
Data publikacji:
2019
Wydawca:
Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:
power transformer
fault diagnosis
improved particle swarm optimization
OS-ELM
parameter optimization
Opis:
A transformer is an important part of power transmission and transformation equipment. Once a fault occurs, it may cause a large-scale power outage. The safety of the transformer is related to the safe and stable operation of the power system. Aiming at the problem that the diagnosis result of transformer fault diagnosis method is not ideal and the model is unstable, a transformer fault diagnosis model based on improved particle swarm optimization online sequence extreme learning machine (IPSO-OS-ELM) algorithm is proposed. The improved particle swarmoptimization algorithm is applied to the transformer fault diagnosis model based on the OS-ELM, and the problems of randomly selecting parameters in the hidden layer of the OS-ELM and its network output not stable enough, are solved by optimization. Finally, the effectiveness of the improved fault diagnosis model in improving the accuracy is verified by simulation experiments.
Źródło:
Archives of Electrical Engineering; 2019, 68, 1; 161-172
1427-4221
2300-2506
Pojawia się w:
Archives of Electrical Engineering
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-2 z 2

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