Research on probe fault detection of EAST magnetic diagnostic system

Research on probe fault detection of EAST magnetic diagnostic system
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EAST磁诊断系统探头故障检测研究

DOI:
10.1088/1361-6587/ac97c1
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发表时间:
2022-10
影响因子:
2.2
通讯作者:
Bingjia Xiao
Bingjia Xiao
中科院分区:
物理与天体物理2区
文献类型:
--
作者:
Tingyu Li;Biao Shen;Tonghui Shi;Dalong Chen;Bihao Guo;Zhengping Luo;Yao Huang;Ming Chen;Bingjia Xiao

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磁诊断系统为平衡重建提供输入信号,并在等离子体反馈控制中发挥关键作用。磁诊断系统的实时监测和异常信号检测对于托卡马克的运行具有重要意义。本文提出了一种基于探针空间自相关性的通用故障检测算法。该算法首先通过回归拟合得到每个探头的期望值与其相邻探头组合的测量值之间的线性映射,然后根据绝对误差分布的拟合结果初步设定故障检测阈值。另外,故障探测定位是通过投票机制实现的。该算法可以同时实现多个不相邻探头的故障检测。基于 EAST 的实验数据,这里描述的方法显示出良好的性能和在长脉冲操作中使用的潜力。
The magnetic diagnostic system provides input signals for equilibrium reconstruction and plays a key role in plasma feedback control. Real-time monitoring and abnormal signal detection in the magnetic diagnostic system are of significance for the operation of a tokamak. In this paper, a general fault detection algorithm is proposed, based on the spatial autocorrelation of the probes. This algorithm first obtains a linear mapping between the expected value of each probe and the measured values of its adjacent probe combination through regression fitting, and then sets the fault detection threshold initially based on the fitting result of the absolute error distribution. In addition, the fault probe location is realized through a voting mechanism. The algorithm can simultaneously realize the fault detection of multiple non-adjacent probes. Based on the experimental data from the EAST, the method described here shows good performance and potential for use in long-pulsed operation.
DOI: 10.1007/s41365-021-00907-w
发表时间: 2021-07
影响因子: 2.8
作者:
N. Bao;Yao Huang;B. Xiao;Q. Yuan;Zheng-ping Luo;Yuehang Wang;Shu-liang Chen
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DOI: 10.1109/rtc.2012.6418376
发表时间: 2012-06
期刊: 2012 18th IEEE-NPSS Real Time Conference
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基于贝叶斯推理的 EAST 等离子体电流分布重建
DOI: 10.1016/j.fusengdes.2021.112722
发表时间: 2021-11
影响因子: 1.7
作者:
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