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  1. 241

    Deep Domain Adaptation Approach Using an Improved Parallel Residual Network for Cross-Domain Bearing Fault Diagnosis by Jiezhou Huang

    Published 2024-01-01
    “…Rolling bearing datasets from Case Western Reserve University (CWRU) and Jiangnan University (JNU) are used to validate the effectiveness of the presented method. …”
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    MCRCNet: A Bearing Fault Diagnosis Method for Unknown Faults Based on Transfer Learning by Guangyuan Xu, Ruifeng Guo, Zhenyu Yin, Feiqing Zhang

    Published 2025-01-01
    “…The proposed method is experimentally verified on Case Western Reserve University, Jiangnan University, and laboratory datasets. The experimental results show that the method has good performance in most tasks and has good generalization ability, which provides a feasible solution for the research of bearing fault diagnosis.…”
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