Cellular neural network algorithms for real-time image analysis in plasma fusion

Guido Vagliasindi, Andrea Murari, Paolo Arena, Luigi Fortuna, Giueppe Mazzitelli

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

In modern tokamaks, visible and infrared video cameras are becoming more and more important in monitoring plasma evolution during fusion experiments. Analyzing these images in real time can provide relevant information for controlling plasma and improving machine safety. The real-time image processing capability of the cellular nonlinear/neural network-based chips that are available nowadays has been applied to several tasks, both at Frascati Tokamak Upgrade (FTU) and at Joint European Torus (JET). The successful applications range from the identification of plasma instabilities, such as multifaceted asymmetric radiations from the edge (MARFEs), to the determination of the strike-point position in the divertor and to the detection of the so-called "hot spots." © 2009 IEEE.
Original languageEnglish
Pages (from-to)2417 - 2425
Number of pages9
JournalIEEE Transactions on Instrumentation and Measurement
Volume58
Issue number8
DOIs
Publication statusPublished - 2009
Externally publishedYes

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All Science Journal Classification (ASJC) codes

  • Instrumentation
  • Electrical and Electronic Engineering

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