Fault Diagnosis of Rolling Bearings Based on MTF-TLResNet34-Reference-Cited by-同舟云学术

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Fault Diagnosis of Rolling Bearings Based on MTF-TLResNet34

Published:2023-05-20 Issue: Volume: Page:
ISSN:
Container-title:2023 35th Chinese Control and Decision Conference (CCDC)
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Author:

Guo Lijin¹,Tang Jingqi¹

Affiliation:

1. Tiangong University,School of Control Science and Engineering,Tianjin,300387

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10326786.pdf?arnumber=10326786

Reference14 articles.

1. Deep Residual Learning for Image Recognition

2. Rolling Bearing Fault Diagnosis Method Based on GADF-CNN;tong;Journal of Vibration and Shock,2021

3. Depth Residual Hedging Network and its Application in Rolling Bearing Fault Diagnosis;kang;Acta Astronautica et Astronautica Sinica,2022

4. Application of Data Enhancement Method Based on Two-dimensional Gray Image in Motor Bearing Fault Diagnosis;xiao;Proceedings of the CSEE,2021

Cited by 2 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. Research on Fault Diagnosis of Rolling Bearing Based on Gramian Angular Field and Lightweight Model;Sensors;2024-09-13

2. Fault diagnosis of rolling bearings based on dynamic convolution and dual-channel feature fusion under variable working conditions;Measurement Science and Technology;2024-03-08

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