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

doi:10.1016/j.fusengdes.2012.02.038

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

Research output: Contribution to journal › Article › peer-review

3 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 language	English
Pages (from-to)	2081-2083
Number of pages	3
Journal	Fusion Engineering and Design
Volume	87
Issue number	12
DOIs	https://doi.org/10.1016/j.fusengdes.2012.02.038
State	Published - Dec 2012
Externally published	Yes

Keywords

Conformal predictor
Distributed environment
L/H transition time

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10.1016/j.fusengdes.2012.02.038

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

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.",

keywords = "Conformal predictor, Distributed environment, L/H transition time",

author = "G. Farias and J. Vega and S. Gonz{\'a}lez and A. Pereira and X. Lee and D. Schissel and P. Gohil",

note = "Funding Information: This work was supported in part by The Spanish Ministry of Science and Innovation under the Project No. ENE2008-02894/FTN , and in part by The US Department of Energy under DE- FC02-04ER54698 .",

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doi = "10.1016/j.fusengdes.2012.02.038",

language = "English",

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T1 - Automatic determination of L/H transition times in DIII-D through a collaborative distributed environment

AU - Farias, G.

AU - Vega, J.

AU - González, S.

AU - Pereira, A.

AU - Lee, X.

AU - Schissel, D.

AU - Gohil, P.

N1 - Funding Information: This work was supported in part by The Spanish Ministry of Science and Innovation under the Project No. ENE2008-02894/FTN , and in part by The US Department of Energy under DE- FC02-04ER54698 .

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Y1 - 2012/12

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AB - 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.

KW - Conformal predictor

KW - Distributed environment

KW - L/H transition time

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M3 - Article

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SN - 0920-3796

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JO - Fusion Engineering and Design

JF - Fusion Engineering and Design

IS - 12

ER -

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

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Keywords

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