izpis_h1_title_alt

Prediction of cavitation vortex dynamics in the draft tube of a francis turbine using radial basis neural networks
Hočevar, Marko (Avtor), Širok, Brane (Avtor), Blagojević, Bogdan (Avtor)

URLURL - Predstavitvena datoteka, za dostop obiščite http://dx.doi.org/10.1007/s00521-004-0458-4 Novo okno

Izvleček
Application of radial basis neural networks (RBNN) for prediction of cavitation vortex dynamics in a Francis turbine draft tube is presented. The dynamics of the cavitation vortex was established by fluctuations of a void fraction in a selected region of the draft tube. The void fraction was determined by image acquisition and analysis. Pressure in the draft tube and images of the cavitation vortex were acquired simultaneously for the experiment. RBNN were used for prediction. The void fraction in the selected region of the cavitation vortex was predicted on the basis of experimentally provided pressure data. The learning set consisted of pressure - void fractionpairs. The prediction consisted in providing only the pressure. Regression coefficients r between the predicted and measured void fractions were in an interval of 0.82-0.98. A good agreement between power spectra and correlation functions of measured and predicted void fractions was shown.

Jezik:Angleški jezik
Ključne besede:izbor cevi, numerični modeli, analitični modeli, predvidevanja, cavitation vortex, draft tube, Francis turbine, prediction, radial basis neural networks, void fraction
Vrsta gradiva:Delo ni kategorizirano (r6)
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Leto izida:2005
Št. strani:str. 229-234
Številčenje:Letn. 14, št. 3
UDK:621.224:532.5:004.8
ISSN pri članku:0941-0643
COBISS.SI-ID:8455963 Povezava se odpre v novem oknu
Število ogledov:494
Število prenosov:163
Metapodatki:XML RDF-CHPDL DC-XML DC-RDF
 
Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Neural computing & applications
Skrajšan naslov:Neural comput. appl.
Založnik:Springer
ISSN:0941-0643
COBISS.SI-ID:1607958 Novo okno

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