Studies of MHD Stability Using Data Mining Technique in Helical Plasmas

• YAMAMOTO Satoshi

  Institute of Advanced Energy, Kyoto University, Uji 611-0011, Japan

• PRETTY David

  Laboratorio Nacional de Fusión, Asociación Euratom-CIEMAT, Madrid 28040, Spain

• BLACKWELL Boyd

  Australian National University, Canberra ACT 0200, Australia

• NAGASAKI Kazunobu

  Institute of Advanced Energy, Kyoto University, Uji 611-0011, Japan

• OKADA Hiroyuki

  Institute of Advanced Energy, Kyoto University, Uji 611-0011, Japan

• SANO Fumimichi

  Institute of Advanced Energy, Kyoto University, Uji 611-0011, Japan

• MIZUUCHI Tohru

  Institute of Advanced Energy, Kyoto University, Uji 611-0011, Japan

• KOBAYASHI Shinji

  Institute of Advanced Energy, Kyoto University, Uji 611-0011, Japan

• KONDO Katsumi

  Graduate School of Energy Science, Kyoto University, Uji 611-0011, Japan

• JIMÉNEZ-GÓMEZ Ruben

  Laboratorio Nacional de Fusión, Asociación Euratom-CIEMAT, Madrid 28040, Spain

• ASCASÍBAR Enrique

  Laboratorio Nacional de Fusión, Asociación Euratom-CIEMAT, Madrid 28040, Spain

• TOI Kazuo

  National Institute for Fusion Science, Toki 509-5292, Japan

• OHDACHI Satoshi

  National Institute for Fusion Science, Toki 509-5292, Japan

Abstract

Data mining techniques, which automatically extract useful knowledge from large datasets, are applied to multichannel magnetic probe signals of several helical plasmas in order to identify and classify MHD instabilities in helical plasmas. This method is useful to find new MHD instabilities as well as previously identified ones. Moreover, registering the results obtained from data mining in a database allows us to investigate the characteristics of MHD instabilities with parameter studies. We introduce the data mining technique consisted of pre-processing, clustering and visualizations using results from helical plasmas in H-1 and Heliotron J. We were successfully able to classify the MHD instabilities using the criterion of phase differences of each magnetic probe and identify them as energetic-ion-driven MHD instabilities using parameter study in Heliotron J plasmas.

Journal

• Plasma and Fusion Research

  Plasma and Fusion Research 5 034-034, 2010

  The Japan Society of Plasma Science and Nuclear Fusion Research

Keywords

• MHD stability
• data mining
• magnetic probe
• energetic-ion-driven MHD instability
• helical plasma

Details

• CRID: 1390282680231634432
• NII Article ID: 130000442408
• DOI: 10.1585/pfr.5.034
• ISSN: 18806821
• Web Site: http://www.jstage.jst.go.jp/article/pfr/5/0/5_0_034/_pdf
• Text Lang: en
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed