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Identification of the Structure of Large-Scale MHD Perturbations in a Tokamak from Mirnov Signals

机译:从Mirnov信号识别托卡马克中大型MHD扰动的结构

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An algorithm is proposed that allows one to identify the MHD mode structure in toroidal plasmas by processing signals from Mirnov probes measuring plasma MHD activity. The algorithm differs fundamentally from the diagnostic methods presently used in tokamaks, being simpler and more efficient. The algorithm is based on constructing an analytic signal using the Hilbert transformation of the Mirnov signals at a given instant. The phase and amplitude dependences obtained take into account the toroidal effects and allow one to determine the number and amplitude of the excited MHD mode. The algorithm was approbated with both test signals and actual signals from MHD diagnostics in the T-10 tokamak. It is demonstrated that the algorithm can be used to analyze single-mode MHD instabilities in toroidal plasmas.
机译:提出了一种算法,该算法允许通过处理来自测量血浆MHD活性的Mirnov探针的信号来识别环形血浆中的MHD模式结构。该算法从根本上不同于当前在托卡马克中使用的诊断方法,它更简单,更有效。该算法基于在给定时刻使用Mirnov信号的希尔伯特变换构造解析信号。获得的相位和幅度相关性考虑了环形效应,并允许人们确定激发的MHD模式的数量和幅度。 T-10托卡马克中的测试信号和来自MHD诊断程序的实际信号都批准了该算法。证明了该算法可用于分析环形等离子体中的单模MHD不稳定性。

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