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An average disruptive discharge with tearing method of J-TEXT is shown in Fig. 4. Determine 4a reveals the plasma recent and 4b displays the relative temperature fluctuation. The disruption occurs at all-around 0.22 s which the crimson dashed line implies. And as is proven in Fig. 4e, f, a tearing manner happens from the beginning in the discharge and lasts till disruption. Because the discharge proceeds, the rotation pace from the magnetic islands step by step slows down, which may be indicated by the frequencies on the poloidal and toroidal Mirnov signals. In accordance with the statistics on J-Textual content, three~5 kHz is a typical frequency band for m/n�? 2/one tearing manner.
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The analyze is performed to the J-Textual content and EAST disruption databases based on the former work13,51. Discharges from the J-TEXT tokamak are employed for validating the usefulness on the deep fusion feature extractor, as well as supplying a pre-properly trained model on J-Textual content for even further transferring to forecast disruptions with the EAST tokamak. To verify the inputs on the disruption predictor are stored the identical, 47 channels of diagnostics are chosen from each J-TEXT and EAST respectively, as is proven in Table four.
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We prepare a product within the J-Textual content tokamak and transfer it, with only 20 discharges, to EAST, that has a large variation in dimensions, Procedure routine, and configuration with regard to J-TEXT. Effects show which the transfer Studying method reaches a similar functionality to your product educated right with EAST applying about 1900 discharge. Our success counsel the proposed technique can tackle the problem in predicting disruptions for long run tokamaks like ITER with know-how realized from current tokamaks.
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