Real time monitoring of radiation instabilities in TOKAMAK machines via CNNs

Paolo Arena, Adriano Basile, Riccardo De Angelis, Luigi Fortuna, Giuseppe Mazzitelli, Silvio Migliori, Guido Vagliasindi, Maria Zammataro

Research output: Contribution to journalArticle

7 Citations (Scopus)


In this paper a new strategy for real time detection of plasma instabilities, called MARFEs, is proposed through real-time image processing on plasma video sequences. These sequences are recorded by a vision system based on a charge coupled device (CCD) camera installed at Frascati Tokamak Upgrade (FTU). The strategy used to perform the task is based on a new family of nonlinear analog processors, digitally programmable, implemented into the so-called Cellular Neural Network Universal Machine (CNN-UM). The basic idea deals with a system capable to carry out safer nuclear fusion experiments, preventing the plant from excessive mechanical and thermal stress which occurs during plasma instability phenomena (i.e., disruptions). Experimental results, obtained on the FTU machine, are reckoned fully satisfactory. © 2005 IEEE.
Original languageEnglish
Pages (from-to)1106 - 1114
Number of pages9
JournalIEEE Transactions on Plasma Science
Issue number3
Publication statusPublished - Jun 2005
Externally publishedYes


All Science Journal Classification (ASJC) codes

  • Nuclear and High Energy Physics
  • Condensed Matter Physics

Cite this

Arena, P., Basile, A., De Angelis, R., Fortuna, L., Mazzitelli, G., Migliori, S., ... Zammataro, M. (2005). Real time monitoring of radiation instabilities in TOKAMAK machines via CNNs. IEEE Transactions on Plasma Science, 33(3), 1106 - 1114.