Data about the classification of superconducting radio-frequency cavity faults of CAFE2 using machine learning
收藏DataCite Commons2025-04-27 更新2025-04-16 收录
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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.
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Science Data Bank创建时间：
2025-02-08
