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Data · dataset · 2025

Data about the classification of superconducting radio-frequency cavity faults of CAFE2 using machine learning

Listed in ScienceDB

This dataset comprises labeled fault data from superconducting radio-frequency (SRF) cavities, including both waveform images and associated operational parameters.

Description

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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Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 65% · Machine learning 71%
Provenance · 1 source records, 13 field assertions
SourceKeyLast seenRaw
ScienceDB10.57760/sciencedb.2053311 d agoJSON v1
FieldAssertionExtractorEvidence
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