Bearing and Gearbox Datasets for Few-shot Learning Fault Diagnosis

Published: 8 February 2021| Version 1 | DOI: 10.17632/2znkfwhzs7.1
Contributor:
Ming Zhang

Description

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.

Files

Steps to reproduce

People who want to reproduce this work can see the detail on GitHub: https://github.com/mingzhangPHD/Few-shot-Learning-for-Fault-Diagnosis/tree/main/FSM3

Institutions

Tsinghua University, Aston University

Categories

System Fault Diagnosis, Bearing Failure, Vibration Condition Monitoring, Deep Learning

License