The aim of this paper is to present a signal processing algorithm that, applied to the raw Locked Mode signal, allows us to obtain a disruption indicator in principle exploitable on di ff erent tokamaks. A common de fi nition of such an indicator for diff erent machines would facilitate the development of portable systems for disruption prediction, which is becoming of increasingly importance for the next tokamak generations. Moreover, the indicator allows us to overcome some intrinsic problems in the diagnostic system such as drift and o ff set. The behavior of the proposed indicator as disruption predictor, based on crossing optimized thresholds of the signal amplitude, has been analyzed using data of both JET and ASDEX Upgrade experiments. A thorough analysis of the disruption prediction performance shows how the indicator is able to recover some missed and tardy de- tections of the raw signal. Moreover, it intervenes and corrects premature or even wrong alarms due to, e.g., drifts and/or off sets.

A locked mode indicator for disruption prediction on JET and ASDEX upgrade

Murari A;
2019

Abstract

The aim of this paper is to present a signal processing algorithm that, applied to the raw Locked Mode signal, allows us to obtain a disruption indicator in principle exploitable on di ff erent tokamaks. A common de fi nition of such an indicator for diff erent machines would facilitate the development of portable systems for disruption prediction, which is becoming of increasingly importance for the next tokamak generations. Moreover, the indicator allows us to overcome some intrinsic problems in the diagnostic system such as drift and o ff set. The behavior of the proposed indicator as disruption predictor, based on crossing optimized thresholds of the signal amplitude, has been analyzed using data of both JET and ASDEX Upgrade experiments. A thorough analysis of the disruption prediction performance shows how the indicator is able to recover some missed and tardy de- tections of the raw signal. Moreover, it intervenes and corrects premature or even wrong alarms due to, e.g., drifts and/or off sets.
2019
Istituto di fisica del plasma - IFP - Sede Milano
Istituto gas ionizzati - IGI - Sede Padova
Istituto per la Scienza e Tecnologia dei Plasmi - ISTP
Inglese
138
254
266
13
https://www.sciencedirect.com/science/article/pii/S0920379618307294
Sì, ma tipo non specificato
Tokamak
Disruption prediction
Locked mode signal
Disruption indicators
Feature extraction
E-ISSN: 1873-7196 / This work has been carried out within the framework of the EUROfusion Consortium and received funding from the EURATOM research and training programme 2014-2018 under grant agreement No 633053 / http://www.scopus.com/record/display.url?eid=2-s2.0-85057571211&origin=inward
17
info:eu-repo/semantics/article
262
Sias G.; Cannas B.; Fanni A.; Murari A.; Pau A.; ASDEX Upgrade Team; EUROfusion MST Team; JET Contributors
01 Contributo su Rivista::01.01 Articolo in rivista
none
   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/20.500.14243/349850
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