Prediction of unusual plasma discharge by using Support Vector Machine-Reference-Cited by-同舟云学术

Prediction of unusual plasma discharge by using Support Vector Machine

Published:2021-06 Issue: Volume:167 Page:112360
ISSN:0920-3796
Container-title:Fusion Engineering and Design
language:en
Short-container-title:Fusion Engineering and Design

Author:

Nakagawa Shota,Hochin Teruhisa,Nomiya Hiroki,Nakanishi Hideya,Shoji Mamoru^ORCID

Funder

National Institute for Fusion Science

Publisher

Elsevier BV

Subject

Mechanical Engineering,General Materials Science,Nuclear Energy and Engineering,Civil and Structural Engineering

Reference22 articles.

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3. Real-Time Anomaly Detection for Disruption Prediction: The JET Case;Vega,2014

4. Automatic Location of Disruption Times in JET;Moreno,2014

5. Event recognition using signal spectrograms in long pulse experiments;González;Rev. Sci. Instrum.,2010

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