Transfer Learning Based Rolling Bearing Fault Diagnosis-Reference-Cited by-同舟云学术

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Transfer Learning Based Rolling Bearing Fault Diagnosis

Published:2021-05-14 Issue: Volume: Page:
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Container-title:2021 IEEE 10th Data Driven Control and Learning Systems Conference (DDCLS)
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Author:

Yang Zhengni,Wang Xuying,Yang Rui

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9455434/9455362/09455448.pdf?arnumber=9455448

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. New Fault Diagnosis Method for Rolling Bearings Based on Improved Residual Shrinkage Network Combined with Transfer Learning;Sensors;2024-09-01

2. A multi-order moment matching-based unsupervised domain adaptation with application to cross-working condition fault diagnosis of rolling bearings;Structural Health Monitoring;2024-07-25

3. A Semantic-Consistent Conditional Generative Adversarial Model for Zero-Shot Learning In Bearing Fault Diagnosis;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

4. SFS-PSO: An Improved Data Preprocessing Approach in Fault Diagnosis under Variable Working Conditions;2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS);2024-05-17

5. Pipeline leakage aperture identification method based on pseudolabel learning;Measurement Science and Technology;2023-07-28

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