In this work, discriminant analysis is used as the main approach for building a physics based automated classifier for the discrimination of the edge-localized mode (ELM) plasma instability. The classifier is then applied for distinguishing type I and type III ELMs from a set of carbon-wall plasmas at JET. This provides a fast, standardized classification of ELM types which is expected to significantly reduce the effort of ELM experts in identifying ELM types. Further, the classifier yields a separation hyperplane in terms of global plasma parameters, which provides an insight into the range of conditions under which specific ELM behaviors occur. (C) 2017 Elsevier B.V. All rights reserved.

Classification of ELM types in Joint European Torus based on global plasma parameters using discriminant analysis / Shabbir, Aqsa; Hornung, Gregoire; Noterdaeme, Jean-Marie; Subba, Fabio; Verdoolaege, Geert. - In: FUSION ENGINEERING AND DESIGN. - ISSN 0920-3796. - 123:(2017), pp. 717-721. [10.1016/j.fusengdes.2017.05.101]

Classification of ELM types in Joint European Torus based on global plasma parameters using discriminant analysis

Subba, Fabio;
2017

Abstract

In this work, discriminant analysis is used as the main approach for building a physics based automated classifier for the discrimination of the edge-localized mode (ELM) plasma instability. The classifier is then applied for distinguishing type I and type III ELMs from a set of carbon-wall plasmas at JET. This provides a fast, standardized classification of ELM types which is expected to significantly reduce the effort of ELM experts in identifying ELM types. Further, the classifier yields a separation hyperplane in terms of global plasma parameters, which provides an insight into the range of conditions under which specific ELM behaviors occur. (C) 2017 Elsevier B.V. All rights reserved.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/2986886