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加上此模板的編輯者需在討論頁說明此文中立性有爭議的原因，以便讓各編輯者討論和改善。在編輯之前請務必察看讨论页。Parameter-based transfer Discovering can be quite valuable in transferring disruption prediction designs in long term reactors. ITER is designed with A serious radius of six.2 m plus a minor radius of 2.0 m, and will be functioning in a really unique operating routine and situation than any of the prevailing tokamaks23. In this perform, we transfer the resource design qualified Together with the mid-sized circular limiter plasmas on J-Textual content tokamak to some much bigger-sized and non-circular divertor plasmas on EAST tokamak, with only some knowledge. The effective demonstration indicates which the proposed technique is predicted to lead to predicting disruptions in ITER with awareness learnt from current tokamaks with distinctive configurations. Especially, in order to Enhance the performance on the concentrate on domain, it is actually of wonderful importance to Increase the functionality of the supply area.
Density as well as the locked-mode-connected signals also consist of a large amount of disruption-related facts. In line with stats, nearly all disruptions in J-TEXT are induced by locked modes and density restrictions, which aligns with the outcomes. Nonetheless, the mirnov coils which measure magnetohydrodynamic (MHD)instabilities with increased frequencies are usually not contributing A great deal. This might be due to the fact these instabilities is not going to produce disruptions instantly. It is also revealed the plasma present is not contributing Substantially, as the plasma present will not alter A great deal on J-Textual content.
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The objective of this research is to Enhance the disruption prediction effectiveness on target tokamak with largely know-how from your supply tokamak. The product performance on goal domain mainly depends on the overall performance on the design from the source domain36. Consequently, we to start with need to obtain a high-effectiveness pre-properly trained product with J-Textual content facts.
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