A new vertical instability predictor via precursor oscillation detection with performance monitoring of equilibrium controller
A new vertical instability predictor via precursor oscillation detection with performance monitoring of equilibrium controller
复制标题
通过前兆振荡检测和平衡控制器性能监控的新型垂直失稳预测器
DOI：
10.1088/1741-4326/ac6c39
复制
发表时间：
2022
期刊：
影响因子：
3.3
通讯作者：
Suzuki Takahiro
中科院分区：
文献类型：
--
作者：
Inoue Shizuo;Miyata Yoshiaki;Urano Hajime;Suzuki Takahiro
我们首先使用机器学习方法之一的支持向量机（SVM）提出了一个准确且鲁棒的垂直不稳定预测器。通过自适应电压分配方案（Inoue et al 2021 Nuclear Fusion 61 096009），使用新引入的分类参数来测量平衡控制器的性能，训练预测器来检测前体振荡。此外，在支持向量机训练/预测中引入了多层预处理滤波器，提高了高度不平衡条件下的预测精度
We first propose an accurate and robust vertical instability predictor by using a support vector machine (SVM), one of the machine learning methods. The predictor is trained to detect precursor oscillation by using newly introduced classification parameters to measure the equilibrium controller performance, which is obtained by the adaptive voltage allocation scheme (Inoue et al 2021 Nuclear Fusion 61 096009). Furthermore, multi-layered preprocessing filters are newly introduced for the SVM training/prediction, which improves the prediction accuracy under highly imbalanced conditions, where