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Regime identification in ASDEX upgrade

机译：ASDEX升级中的区域标识

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摘要

The ability to recognize the transition from the L-mode to the H-mode or from the H-mode to the improved H-mode reliably from a conveniently small number of measurements in real time is of increasing importance for machine control.Discriminant analysis has been applied to regime identification of plasma discharges in the ASDEX Upgrade tokamak. An observation consists of a set of plasma parameters averaged over a time slice in a discharge. The data set consists of all observations over different discharges and time slices. Discriminant analysis yields coefficients allowing the classification of a new observation. The results of a frequentist and a formal Bayesian approach to discriminant analysis are compared. With five plasma variables, a failure rate of 1.3% for predicting the L-mode and the H-mode confinement regime was achieved. With five plasma variables, a failure rate of 5.3% for predicting the H-mode and the improved H-mode confinement regime was achieved.The coefficients derived by discriminant analysis have been applied subsequently to discharges to illustrate the operation of regime identification in a real time control system.
机译：从方便的实时测量中可靠地识别从L模式到H模式或从H模式到改进的H模式的转换能力对于机器控制越来越重要。已应用于ASDEX升级托卡马克中的等离子体放电状态识别。观察包括一组在放电时间段内平均的血浆参数。数据集包括对不同流量和时间片的所有观测结果。判别分析得出的系数允许对新观测值进行分类。比较了常客和贝叶斯判别分析的正式结果。使用五个血浆变量，可以实现1.3％的故障率，从而可以预测L模式和H模式的限制方式。在五个血浆变量的情况下，预测H模式的故障率达到5.3％，并且改进了H模式的约束方式。通过判别分析得出的系数随后应用于放电，以说明在真实环境中模式识别的操作时间控制系统。

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