Journal
IEEE TRANSACTIONS ON PLASMA SCIENCE
Volume 42, Issue 8, Pages 2065-2072Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPS.2014.2331705
Keywords
Image processing; multifaceted asymmetric radiation from the edge (MARFE); tokamak disruptions
Categories
Funding
- European Community
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In the last years, several diagnostic systems have been installed on Joint European Torus (JET) providing new information that may be potentially useful for disruption prediction. The fast visible camera can deliver information about the occurrence of multifaceted asymmetric radiation from the edge (MARFE) instabilities that precede disruptions in density limit discharges. Two image processing methods-the sparse image representation using overcomplete dictionaries and the Histogram of oriented gradients (HOGs)-have been used for developing MARFE classifiers with supervised learning. The methods have been tested with JET experimental data and a good prediction rate has been obtained. The HOG method is able to provide predictions useful for online disruption prediction.
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