Automated recognition system for ELM classification in JET (Articolo in rivista)

Type
Label
  • Automated recognition system for ELM classification in JET (Articolo in rivista) (literal)
Anno
  • 2009-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1016/j.fusengdes.2008.12.003 (literal)
Alternative label
  • Duro N.; Dormido R.; Vega J.; Dormido-Canto S.; Farias G.; Sánchez J.; Vargas H.; Murari A.; JET-EFDA Contributors (2009)
    Automated recognition system for ELM classification in JET
    in Fusion engineering and design
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Duro N.; Dormido R.; Vega J.; Dormido-Canto S.; Farias G.; Sánchez J.; Vargas H.; Murari A.; JET-EFDA Contributors (literal)
Pagina inizio
  • 712 (literal)
Pagina fine
  • 715 (literal)
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  • La rivista è pubblicata anche online con ISSN 1873-7196. (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://www.sciencedirect.com/science/article/pii/S0920379608004316 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 84 (literal)
Rivista
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
  • Issues 2-6 (literal)
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  • 4 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 2-6 (literal)
Note
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • a JET EFDA, Culham Science Center, OX14 3DB, Abingdon, UK - b Dpto. de Informática y Automática - UNED, C/ Juan del Rosal 16, 28040 Madrid, Spain - c Asociación EURATOM/CIEMAT para Fusión, Avd. Complutense 22, 28040 Madrid, Spain - d Consorzio RFX-Associazione EURATOM ENEA per la Fusione, I-35127 Padua, Italy. - (N. Duro b , * , R. Dormido b , J. Vega c , S. Dormido-Canto b , G. Farias b , J. Sánchez b , H. Vargas b , A. Murari d , JET-EFDA Contributors a) (literal)
Titolo
  • Automated recognition system for ELM classification in JET (literal)
Abstract
  • Edge localized modes (ELMs) are instabilities occurring in the edge of H-mode plasmas. Considerable efforts are being devoted to understanding the physics behind this non-linear phenomenon. A first characterization of ELMs is Usually their identification as type I or type III. An automated pattern recognition system has been developed in JET for off-line ELM recognition and classification. The empirical method presented in this paper analyzes each individual ELM instead of starting from a temporal segment containing many ELM bursts. The ELM recognition and isolation is carried out using three signals: D alpha, line integrated electron density and stored diamagnetic energy. A reduced set of characteristics (such as diamagnetic energy drop, ELM period or D alpha shape) has been extracted to build supervised and unsupervised learning systems for classification purposes. The former are based on support vector machines (SVM). The latter have been developed with hierarchical and K-means clustering methods. The Success rate of the classification systems is about 98% for a database of almost 300 ELMs. (literal)
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