Bearing and Gearbox Datasets for Few-shot Learning Fault Diagnosis

This dataset is mainly used for the Paper named "Metric-based meta-learning model for few-shot fault diagnosis under multiple limited data conditions", there are 4 kinds of experiments in this paper, the former 2 is for rolling bearing and the latter 2 is for gearbox, all the data have been split in the Training set and Testing set, one can reproduce the result by directly loading these data.