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

GONZALO ALBERTO FARIAS CASTRO, J. Vega, S. González, A. Pereira, X. Lee, D. Schissel, P. Gohil

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)2081-2083
Number of pages3
JournalFusion Engineering and Design
Volume87
Issue number12
DOIs
StatePublished - 1 Dec 2012

Keywords

  • Conformal predictor
  • Distributed environment
  • L/H transition time

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