Supervised Image Processing Learning for Wall MARFE Detection Prior to Disruption in JET With a Carbon Wall (Articolo in rivista)

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  • Supervised Image Processing Learning for Wall MARFE Detection Prior to Disruption in JET With a Carbon Wall (Articolo in rivista) (literal)
Anno
  • 2014-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/TPS.2014.2331705 (literal)
Alternative label
  • Craciunescu Teddy; Murari Andrea; Tiseanu Ion; Vega Jesus; JET EFDA Contributors (2014)
    Supervised Image Processing Learning for Wall MARFE Detection Prior to Disruption in JET With a Carbon Wall
    in IEEE transactions on plasma science; IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 445 HOES LANE, PISCATAWAY, NJ 08855-4141 (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Craciunescu Teddy; Murari Andrea; Tiseanu Ion; Vega Jesus; JET EFDA Contributors (literal)
Pagina inizio
  • 2065 (literal)
Pagina fine
  • 2072 (literal)
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  • IEEE transactions on plasma science (Online) eISSN: 1939-9375 (literal)
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  • http://ieeexplore.ieee.org/xpl/abstractAuthors.jsp?arnumber=6848812 (literal)
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  • 42 (literal)
Rivista
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  • 8 (literal)
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  • 8 (literal)
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  • Scopu (literal)
  • ISI Web of Science (WOS) (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • 1,3 : EURATOM-MEdC Association, National Institute for Lasers, Plasma and Radiation Physics, Bucharest, 077125, Romania; / 2 : Consorzio RFX, Associazione EURATOM-ENEA per la Fusione, Padova 35127, Italy; / 4 : Associación EURATOM/CIEMAT Para Fusión, Madrid 28040, Spain; / 5 : Culham Science Centre, Abingdon OX14 3DB, U.K. (literal)
Titolo
  • Supervised Image Processing Learning for Wall MARFE Detection Prior to Disruption in JET With a Carbon Wall (literal)
Abstract
  • In the last years, several diagnostic systems have been installed on Joint European Torus (JET) providing new information that may be potentially useful for disruption prediction. The fast visible camera can deliver information about the occurrence of multifaceted asymmetric radiation from the edge (MARFE) instabilities that precede disruptions in density limit discharges. Two image processing methods-the sparse image representation using overcomplete dictionaries and the Histogram of oriented gradients (HOGs)-have been used for developing MARFE classifiers with supervised learning. The methods have been tested with JET experimental data and a good prediction rate has been obtained. The HOG method is able to provide predictions useful for online disruption prediction. (literal)
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