Real Electronic Signal Data from Particle Accelerator Power Systems for Machine Learning Anomaly Detection

This work describes real-time series datasets collected from the high voltage converter modulators (HVCM) of the Spallation Neutron Source facility. HVCMs are used to power the linear accelerator klystrons, which in turn produce the high-power radio frequency to accelerate the negative hydrogen ions (H−). Waveform signals have been collected from the operation of more than 15 HVCM systems categorized into four major subsystems during the years 2020-2022. The data collection process occurred in the Spallation Neutron Source facility of Oak Ridge, Tennessee in the United States. For each of the four subsystems, there are two datasets. The first one contains the waveform signals, while the second contains the label of the waveform, whether it has a normal or faulty signal. A variety of waveforms are included in the datasets including insulated-gate bipolar transistor (IGBT) currents in three phases, magnetic flux in the three phases, modulator current and voltage, cap bank current and voltage, and time derivative change of the modulator voltage. The datasets provided are useful to test and develop machine learning and statistical algorithms for applications related to anomaly detection, system fault detection and classification, and signal processing.

本研究描述了从美国田纳西州橡树岭国家实验室的裂变中子源装置的高压转换调制器（HVCM）中收集的实时序列数据集。高压转换调制器用于为直线加速器中的速调管供电，后者进而产生用于加速负氢离子（H-）的高功率射频。在2020年至2022年期间，从超过15个HVCM系统的运行中收集了波形信号，这些系统被划分为四个主要子系统。数据收集过程在美国田纳西州橡树岭的裂变中子源装置中进行。对于这四个子系统中的每一个，都存在两个数据集。第一个数据集包含了波形信号，而第二个数据集则包含了波形的标签，即信号是否为正常或故障信号。数据集中包含了多种波形，包括三相绝缘栅双极型晶体管（IGBT）电流、三相磁通量、调制器电流和电压、电容组电流和电压，以及调制器电压的时间导数变化。提供的数据集对于测试和开发与异常检测、系统故障检测与分类以及信号处理相关的机器学习和统计算法具有重要意义。