Abstract in atti di convegno, 2022, ENG

Review of a data-driven adaptive disruption predictor for mitigation based on a nearest centroid approach

Vega J.; Ratta G.A.; Gadariya D.; Murari A.; Stuart C.;

EUROfusion Consortium, JET, Culham Science Centre, Abingdon, UK; Laboratorio Nacional de Fusión, CIEMAT, Madrid, Spain; Consorzio RFX (CNR, ENEA, INFN, Università di Padova, Acciaierie Venete SpA), Padova and CNR ISTP - Istituto per la Scienza e Tecnologia dei Plasmi, Sede di Padova, Italy; United Kingdom Atomic Energy Authority, Culham Science Centre, Abingdon, Oxfordshire, UK; Depto. De Informática y Automática, UNED, Madrid, Spain.

2nd IAEA Technical Meeting on Plasma Disruptions and their Mitigation, Virtual Event, 19-22 July 2022

Keywords

disruption predictor, disruption mitigation system, JET

CNR authors

Murari Andrea

CNR institutes

ISTP – Istituto per la Scienza e Tecnologia dei Plasmi

ID: 471067

Year: 2022

Type: Abstract in atti di convegno

Creation: 2022-09-21 15:51:05.000

Last update: 2022-11-28 22:33:56.000

CNR authors

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:471067