This article shows the development of a diagnostic tool that implements a new kind of disruption predictor. The new disruption predictor neither depends on data from past discharges nor is based on threshold amplitude. It is based on detecting anomalies in the data flow.In JET, with only the locked mode signal, the new predictor outperforms existing predictors.

Advanced Disruption Predictor Based on the Locked Mode Signal: Application to JET

Murari A;
2015

Abstract

This article shows the development of a diagnostic tool that implements a new kind of disruption predictor. The new disruption predictor neither depends on data from past discharges nor is based on threshold amplitude. It is based on detecting anomalies in the data flow.In JET, with only the locked mode signal, the new predictor outperforms existing predictors.
2015
Istituto gas ionizzati - IGI - Sede Padova
Inglese
First EPS Conference on Plasma Diagnostics - 1st ECPD
5
http://www.euro-fusionscipub.org/wp-content/uploads/2015/05/EFCP150203.pdf
14-17 April 2015
Frascati (Rome) Italy
Locks (fasteners)
Plasma diagnostics
Diagnostic tools
Locked mode
Threshold amplitude
This work was partially funded by the Spanish Ministry of Economy and Competitiveness under the Projects No ENE2012 - 38970 - C04 - 01 and ENE2012 - 38970 - C04 - 03 . This work has been carried out within the framework of the EUROfusion Consortium and has received funding from the Euratom research and training programme 2014 - 2018 under grant agreement No 633053.
1
none
Vega J.; Moreno R.; Pereira A.; DormindoCanto S.; Murari A.; JET Contributors
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   Implementation of activities described in the Roadmap to Fusion during Horizon 2020 through a Joint programme of the members of the EUROfusion consortium
   EUROfusion
   H2020
   633053
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/314850
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