Rolling Bearing Datasets for Transfer Learning Fault Diagnosis
Published: 15 May 2020| Version 1 | DOI: 10.17632/ykbc8hntzx.1
Contributor:
Ming ZhangDescription
More detail can be found on the paper "A Deep Transfer Model With Wasserstein Distance Guided Multi-Adversarial Networks for Bearing Fault Diagnosis Under Different Working Conditions" and the code is on the GitHub and link below.
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Categories
Diagnosis, Bearing, Deep Learning