Overview of Bearing Fault Diagnosis Based on Deep Learning-Reference-Cited by-同舟云学术

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Overview of Bearing Fault Diagnosis Based on Deep Learning

Published:2023-04-14 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB)
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Author:

Zou Xue-Ling¹,Han Kai-Xu¹,Chien Wei²,Gan Xin-Yan³,Shi Liu-Yue¹

Affiliation:

1. Beibu Gulf University,School of Electric and Information Engineering,Qinzhou,China

2. Lunghwa University of Science and Technology,School of Information Management and Master’s Program,Taoyuan City,Taiwan

3. Guangxi University of Chinese Medicine,Nanning,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10169134/10169905/10170586.pdf?arnumber=10170586

Reference9 articles.

1. Research on fault diagnosis of motor bearing based on deep learning [J];aihua;Modular Machine Tool & Automatic Manufacturing Technique,2020

2. Convolutional Neural Network Based Fault Detection for Rotating Machinery

3. Impulsive component extraction using shift-invariant dictionary learning and its application to gear-box bearing early fault diagnosis

4. Reducing the Dimensionality of Data with Neural Networks

5. Processes Fault Diagnosis Using Neural Networks Steady-State Processess [J];venkatas;Pergamon,1990

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. Separation of fault characteristic impulses of flexible thin-wall bearing based on wavelet transform and correlated Gini index;Mechanical Systems and Signal Processing;2024-03

2. A Bearing Fault Diagnosis Method Based on Dilated Convolution and Multi-Head Self-Attention Mechanism;Applied Sciences;2023-11-28

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