A Fault Diagnosis Method of Rolling Bearing Based on Convolutional Neural Network-Reference-Cited by-同舟云学术

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A Fault Diagnosis Method of Rolling Bearing Based on Convolutional Neural Network

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

Zhang Bangcheng¹,Gao Shuo¹,Hu Guanyu²,Gao Zhi³,Zhao Yadong⁴,Du Jianzhuang⁴

Affiliation:

1. Changchun University of Technology,College of Mechanical and Electrical Engineering,Changchun,China

2. Guilin University of Electronic Technology,Guangxi Key Laboratory of Trusted Software,Guilin,China

3. Changchun University of Technology,College of Applied Technology,Changchun,China

4. AW Tooling Die Manufacturing CO., LTD.,Welding Development Department,Changchun,China

Funder

Technology Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10326447/10326467/10327400.pdf?arnumber=10327400

Reference18 articles.

1. A Novel Fault Diagnosis Method for Rotating Machinery Based on a Convolutional Neural Network

2. A Fault Diagnosis Method of Rotating Machinery Based on One-Dimensional, Self-Normalizing Convolutional Neural Networks

3. Rolling bearing fault diagnosis based on feature fusion with parallel convolutional neural network;liang;The International Journal of Advanced Manufacturing Technology,2020

4. Multiscale Convolutional Neural Networks for Fault Diagnosis of Wind Turbine Gearbox

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