EFDA-JET-PR(07)55

Application of Cellular Neural Network Methods to Real Time Image Analysis in Plasma Fusion

In modern tokamaks visible and infrared video cameras are becoming more and more important to monitor plasma evolution during fusion experiments. Analyzing these images in real-time can provide relevant information for controlling the plasma and improving the safety of the machines. The real-time image processing capability of the Cellular Nonlinear Network based chip has been applied to several tasks both at Frascati Tokamak Upgrade (FTU) and Joint European Torus (JET). The successful applications range from the identification of plasma instabilities, such as Multifaceted Asymmetric Radiation From the Edge (MARFEs), to the determination of the strike points position in the divertor and the detection of hot spots.
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EFDP07055 811.66 Kb