Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

A First Analysis of JET Plasma Profile-Based Indicators for Disruption Prediction and Avoidance

Academic Article
Publication Date:
2018
abstract:
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.
Iris type:
01.01 Articolo in rivista
Keywords:
Disruption avoidance; disruption predictio; operational space mapping; plasma profiles
List of contributors:
Murari, Andrea
Authors of the University:
MURARI ANDREA
Handle:
https://iris.cnr.it/handle/20.500.14243/348172
Published in:
IEEE TRANSACTIONS ON PLASMA SCIENCE
Journal
  • Overview

Overview

URL

https://ieeexplore.ieee.org/document/8383700/
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.0.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)