Results of the JET real-time disruption predictor in the ITER-like wall campaigns

López Navarro, Juan Manuel; Ruiz González, Mariano; Vega, Jesús; Dormido-Canto, Sebastián; Murari, Andrea; Ramírez, Jesús Manuel; Moreno, Raúl; Alves, Diogo y Felton, Robert (2012). Results of the JET real-time disruption predictor in the ITER-like wall campaigns. En: "27th Symposium on Fusion Technology (SOFT)", 24/09/2012 - 28/09/2012, Liege, Belgium. ISBN 0920-3796. pp. 1-7.

Descripción

Título: Results of the JET real-time disruption predictor in the ITER-like wall campaigns
Autor/es:
  • López Navarro, Juan Manuel
  • Ruiz González, Mariano
  • Vega, Jesús
  • Dormido-Canto, Sebastián
  • Murari, Andrea
  • Ramírez, Jesús Manuel
  • Moreno, Raúl
  • Alves, Diogo
  • Felton, Robert
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 27th Symposium on Fusion Technology (SOFT)
Fechas del Evento: 24/09/2012 - 28/09/2012
Lugar del Evento: Liege, Belgium
Título del Libro: Fusion Engineering and Design: Proceedings of the 27th Symposium on Fusion Technology (SOFT), Liege, Belgium 24th September 2012 - 28th September 2012
Fecha: Septiembre 2012
ISBN: 0920-3796
Volumen: Volume
Materias:
Palabras Clave Informales: Disruption prediction; APODIS; JET; ITER; ITER-like wall; SVM classifier
Escuela: E.U.I.T. Telecomunicación (UPM) [antigua denominación]
Departamento: Sistemas Electrónicos y de Control [hasta 2014]
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

The impact of disruptions in JET became even more important with the replacement of the previous Carbon Fiber Composite (CFC) wall with a more fragile full metal ITER-like wall (ILW). The development of robust disruption mitigation systems is crucial for JET (and also for ITER). Moreover, a reliable real-time (RT) disruption predictor is a pre-requisite to any mitigation method. The Advance Predictor Of DISruptions (APODIS) has been installed in the JET Real-Time Data Network (RTDN) for the RT recognition of disruptions. The predictor operates with the new ILW but it has been trained only with discharges belonging to campaigns with the CFC wall. 7 realtime signals are used to characterize the plasma status (disruptive or non-disruptive) at regular intervals of 1 ms. After the first 3 JET ILW campaigns (991 discharges), the success rate of the predictor is 98.36% (alarms are triggered in average 426 ms before the disruptions). The false alarm and missed alarm rates are 0.92% and 1.64%.

Más información

ID de Registro: 20161
Identificador DC: http://oa.upm.es/20161/
Identificador OAI: oai:oa.upm.es:20161
URL Oficial: http://www.soft2012.eu/
Depositado por: Memoria Investigacion
Depositado el: 01 Abr 2014 14:11
Ultima Modificación: 21 Abr 2016 22:37
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