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

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

Description

Title: Results of the JET real-time disruption predictor in the ITER-like wall campaigns
Author/s:
  • López Navarro, Juan Manuel
  • Ruiz González, Mariano
  • Vega, Jesús
  • Dormido-Canto, Sebastián
  • Murari, Andrea
  • Ramírez, Jesús Manuel
  • Moreno, Raúl
  • Alves, Diogo
  • Felton, Robert
Item Type: Presentation at Congress or Conference (Article)
Event Title: 27th Symposium on Fusion Technology (SOFT)
Event Dates: 24/09/2012 - 28/09/2012
Event Location: Liege, Belgium
Title of Book: Fusion Engineering and Design: Proceedings of the 27th Symposium on Fusion Technology (SOFT), Liege, Belgium 24th September 2012 - 28th September 2012
Date: September 2012
ISBN: 0920-3796
Volume: Volume
Subjects:
Freetext Keywords: Disruption prediction; APODIS; JET; ITER; ITER-like wall; SVM classifier
Faculty: E.U.I.T. Telecomunicación (UPM)
Department: Sistemas Electrónicos y de Control [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

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%.

More information

Item ID: 20161
DC Identifier: http://oa.upm.es/20161/
OAI Identifier: oai:oa.upm.es:20161
Official URL: http://www.soft2012.eu/
Deposited by: Memoria Investigacion
Deposited on: 01 Apr 2014 14:11
Last Modified: 21 Apr 2016 22:37
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