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

被引：3

作者：

Farias, G. ^{[1
]}

Vega, J. ^{[1
]}

Gonzalez, S. ^{[1
]}

Pereira, A. ^{[1
]}

Lee, X. ^{[2
]}

Schissel, D. ^{[2
]}

Gohil, P. ^{[2
]}

机构：

[1] Asociac EURATOM CIEMAT Fus, Madrid 28040, Spain

[2] Gen Atom Co, San Diego, CA 92186 USA

来源：

FUSION ENGINEERING AND DESIGN | 2012年 / 87卷 / 12期

关键词：

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

D O I：

10.1016/j.fusengdes.2012.02.038

中图分类号：

TL [原子能技术]; O571 [原子核物理学];

学科分类号：

0827 ; 082701 ;

摘要：

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 D alpha 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. (c) 2012 Elsevier B.V. All rights reserved.

引用

页码：2081 / 2083

页数：3

共 4 条

[1]

[Anonymous], 2000, NATURE STAT LEARNING, DOI DOI 10.1007/978-1-4757-3264-1

[2]

[Anonymous], 2000, Pattern Classification

[3] Support vector machine-based feature extractor for L/H transitions in JET [J].