Cellular nonlinear networks for strike-point localization at JET

P. Arena, L. Fortuna, M. Bruno, G. Vagliasindi, A. Murari, P. Andrew, G. Mazzitelli

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3 Citations (Scopus)


At JET, the potential of fast image processing for real-time purposes is thoroughly investigated. Particular attention is devoted to smart sensors based on system on chip technology. The data of the infrared cameras were processed with a chip implementing a cellular nonlinear network (CNN) structure so as to support and complement the magnetic diagnostics in the real-time localization of the strike-point position in the divertor. The circuit consists of two layers of complementary metal-oxide semiconductor components, the first being the sensor and the second implementing the actual CNN. This innovative hardware has made it possible to determine the position of the maximum thermal load with a time resolution of the order of 30 ms. Good congruency has been found with the measurement from the thermocouples in the divertor, proving the potential of the infrared data in locating the region of the maximum thermal load. The results are also confirmed by JET magnetic codes, both those used for the equilibrium reconstructions and those devoted to the identification of the plasma boundary. © 2005 American Institute of Physics.
Original languageEnglish
Article number113503
Pages (from-to)1 - 10
Number of pages10
JournalReview of Scientific Instruments
Issue number11
Publication statusPublished - 2005
Externally publishedYes


All Science Journal Classification (ASJC) codes

  • Instrumentation

Cite this

Arena, P., Fortuna, L., Bruno, M., Vagliasindi, G., Murari, A., Andrew, P., & Mazzitelli, G. (2005). Cellular nonlinear networks for strike-point localization at JET. Review of Scientific Instruments, 76(11), 1 - 10. [113503]. https://doi.org/10.1063/1.2130936