This repository is for the transfer learning or domain adaptive with fault diagnosis.
The paper is as follow:
If you use this code and datasets for your research, please consider citing:
@ARTICLE{8713860,
author={M. {Zhang} and D. {Wang} and W. {Lu} and J. {Yang} and Z. {Li} and B. {Liang}},
journal={IEEE Access},
title={A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions},
year={2019},
volume={7},
number={},
pages={65303-65318},
keywords={Fault diagnosis;Rolling bearings;Data models;Wavelength division multiplexing;Convolution;Employee welfare;Training;Transfer learning;fault diagnosis;convolutional neural network;multi-adversarial networks},
doi={10.1109/ACCESS.2019.2916935},
ISSN={2169-3536},
month={},}
If you have any problem about our code, feel free to contact:
or describe your problem in issues