Research on Bearing Fault Diagnosis Based on SPWVD and Grid Optimization CNN-Reference-Cited by-同舟云学术

Research on Bearing Fault Diagnosis Based on SPWVD and Grid Optimization CNN

Published:2023-01-29 Issue: Volume: Page:
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Container-title:2023 IEEE 3rd International Conference on Power, Electronics and Computer Applications (ICPECA)
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Author:

Yan Yifan¹,Xing Jialan²,Xie Ming³

Affiliation:

1. Shandong Jianzhu University,Jinan,China

2. Northeast Agricultural University,Harbin,China

3. Jiujiang University,Jiujiang,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10075685/10075655/10076015.pdf?arnumber=10076015

Reference12 articles.

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2. Comprehensive recognition of rolling bearing fault pattern and fault degrees based on two-layer similarity in phase space[J];liu;Journal of Vibration and Shock,2017

3. Prediction of operation state of industrial circulating cooling water system based on deep convolution neural network [J];liu;Thermal Power Generation,2022

4. Dynamic panel fuzzy time series model and its application to econometric time series

5. Intelligent bearing fault diagnosis technology based on deep learning and multi-domain decision fusion[J/OL];lin;Computer Integrated Manufacturing System,2022

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4. Diagnosis of Al-Cfrtp Ta-Fslw Defect Using Acoustic Emission Signal Based on Spwvd and Resnet;2023