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Robustness and increased time resolution of JET Advanced Predictor of Disruptions

机译：JET高级中断预报器的鲁棒性和更高的时间分辨率

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The impact of disruptions in JET is well-known not only with the carbon fiber composite (CFC) wall, but also with the metallic ITER-like wall (ILW). A disruption predictor, called APODIS, was developed and implemented for the JET real-time data network. This predictor uses seven plasma quantities (plasma current, mode lock amplitude, plasma internal inductance, plasma density, stored diamagnetic energy time derivative, radiated power and total input power) and it has been working during the ILW campaigns in JET. It has reached good results in terms of success rate, false alarm rate and prediction anticipation time. However, it is important to note that any signal could fail during any discharge. If an incorrect signal is used by APODIS, this can be an issue for the predictions. Therefore, the first purpose of this article is to determine the robustness of APODIS. Robustness is the predictor reliability when a signal fails. To determine the robustness, anomalous signals have been simulated and the quality of the APODIS predictions has been estimated. The results show that some signals, such as the mode lock and the plasma inductance, are essential for APODIS to provide a reasonable success rate. Under the failure of other signals, APODIS performance slightly decreases but remains acceptable. On the other hand, during the ILW campaigns, APODIS has missed some disruptions due to a lack of temporal resolution in the prediction. Owing to this reason, a second analysis has been carried out in this paper. The effect of increasing the prediction temporal resolution has been analyzed. The plasma signals are digitized at the same sampling frequency (1 ksample s?1) but a sliding window mechanism has been implemented to modify the prediction period from 32 to 1 ms.
机译：JET中断的影响不仅对于碳纤维复合材料（CFC）壁，而且对于类似ITER的金属壁（ILW）也是众所周知的。为JET实时数据网络开发并实现了一种称为APODIS的中断预测器。该预测器使用七个等离子量（等离子电流，锁模幅度，等离子内部电感，等离子密度，存储的反磁能时间导数，辐射功率和总输入功率），并且已在JET的ILW活动中进行了工作。在成功率，误报率和预测预期时间方面都取得了良好的效果。但是，重要的是要注意，任何放电过程中任何信号都可能发生故障。如果APODIS使用了不正确的信号，则可能是预测的问题。因此，本文的首要目的是确定APODIS的鲁棒性。鲁棒性是信号失败时的预测器可靠性。为了确定鲁棒性，已对异常信号进行了仿真，并评估了APODIS预测的质量。结果表明，一些信号，例如锁模和等离子体电感，对于APODIS提供合理的成功率至关重要。在其他信号失败的情况下，APODIS性能会稍有下降，但仍可以接受。另一方面，在ILW活动期间，由于预测中缺乏时间分辨率，APODIS错过了一些中断。由于这个原因，本文进行了第二次分析。分析了提高预测时间分辨率的效果。等离子体信号以相同的采样频率（1 ksample s？1）被数字化，但是已经实现了滑动窗口机制，将预测周期从32 ms修改为1 ms。

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