Rolling Bearing Datasets for Transfer Learning Fault Diagnosis
收藏NIAID Data Ecosystem2026-03-11 收录
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资源简介：
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.
创建时间：
2020-05-15
