Automatic determination of L/H transition times in DIII-D through a collaborative distributed environment

G. Farias, J. Vega, S. González, A. Pereira, X. Lee, D. Schissel, P. Gohil

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

3 Citas (Scopus)

Resumen

An automatic predictor of L/H transition times has been implemented for the DIII-D tokamak. The system predicts the transition combining two techniques: A morphological pattern recognition algorithm, which estimates the transition based on the waveform of a Dα emission signal, and a support vector machines multi-layer model, which predicts the L/H transition using a non-parametric model. The predictor is employed within a collaborative distributed computing environment. The system is trained remotely in the Ciemat computer cluster and operated on the DIII-D site.

Idioma originalInglés
Páginas (desde-hasta)2081-2083
Número de páginas3
PublicaciónFusion Engineering and Design
Volumen87
N.º12
DOI
EstadoPublicada - dic. 2012
Publicado de forma externa

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