Data about the classification of superconducting radio-frequency cavity faults of CAFE2 using machine learning
收藏科学数据银行2025-02-14 更新2026-04-23 收录
下载链接：
https://www.scidb.cn/detail?dataSetId=357b8f683851410b8af6f249d0147787
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资源简介：
This dataset comprises labeled fault data from superconducting radio-frequency (SRF) cavities, including both waveform images and associated operational parameters. The dataset provides examples of various SRF cavity fault patterns and their corresponding classifications. Due to the large volume of collected data, we have selected and uploaded only several representative examples for each fault pattern, ensuring that these samples effectively demonstrate the typical characteristics of each fault type.
提供机构：
Lijuan Yang; Institute of Modern Physics
创建时间：
2025-02-03
