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A First Analysis of JET Plasma Profile-Based Indicators for Disruption Prediction and Avoidance
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
Uppsala University, Disciplinary Domain of Science and Technology, Physics, Department of Physics and Astronomy, Applied Nuclear Physics.
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Number of Authors: 12342018 (English)In: IEEE Transactions on Plasma Science, ISSN 0093-3813, E-ISSN 1939-9375, Vol. 46, no 7, p. 2691-2698Article in journal (Refereed) Published
Abstract [en]

Reliable algorithms for disruption avoidance and prediction are foreseen to play a fundamental role in the JET control system for the successful operation of the machine in the upcoming deuterium-tritium campaigns. The integration of such algorithms is expected to be a key part also in the implementation of the ITER plasma control system. So far, most of the effort has been devoted to the prediction of disruptions, which is required to mitigate the effects of these transient events, protecting the integrity of in-vessel components. Nevertheless, in order to put in place recover strategies or to have the possibility of a soft landing for the plasma current, the paradigm must be shifted to avoiding disruptions. In this paper, plasma profile-based indicators will be statistically analyzed showing their potential in such a perspective, where warning times and reliability of detection are crucial.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC , 2018. Vol. 46, no 7, p. 2691-2698
Keywords [en]
Disruption avoidance, disruption prediction, operational space mapping, plasma profiles
National Category
Fusion, Plasma and Space Physics
Identifiers
URN: urn:nbn:se:uu:diva-398278DOI: 10.1109/TPS.2018.2841394ISI: 000438121500031OAI: oai:DiVA.org:uu-398278DiVA, id: diva2:1375185
Conference
27th IEEE Symposium on Fusion Engineering (SOFE), JUN 04-08, 2017, Shanghai, PEOPLES R CHINA
Note

For complete list of authors see http://dx.doi.org/10.1109/TPS.2018.2841394

Available from: 2019-12-04 Created: 2019-12-04 Last updated: 2019-12-04Bibliographically approved

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Andersson Sundén, ErikCecconello, MarcoConroy, SeanEriksson, JacobHjalmarsson, AndersPossnert, GöranSjöstrand, HenrikWeiszflog, Matthias

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Andersson Sundén, ErikCecconello, MarcoConroy, SeanEriksson, JacobHjalmarsson, AndersPossnert, GöranSjöstrand, HenrikWeiszflog, Matthias
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Applied Nuclear PhysicsThe Svedberg LaboratoryHigh Energy PhysicsPalaeobiology
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IEEE Transactions on Plasma Science
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