Rolling Bearing Fault Diagnosis Technology Based on Deep Learning
Author:
Affiliation:
1. Zhucheng Bureau of Industry and Information Technolodgy,Zhucheng,China
2. Inspection Institute of Shandong Province,Electronic Information Products,Chinese CEPREI Laboratory(Shandong),Jinan,China
3. Zhucheng Big Data Center,Zhucheng,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9888112/9888113/09888212.pdf?arnumber=9888212
Reference8 articles.
1. Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis
2. An Efficient Rolling Bearing Fault Diagnosis Method Based on Spark and Improved Random Forest Algorithm
3. The Enfigram: A robust method for extracting repetitive transients in rolling bearing fault diagnosis
4. Rolling bearing fault diagnosis using optimal ensemble deep transfer network
5. Design and Analysis for Early Warning of Rotor UAV Based on Data-Driven DBN
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3. A fault diagnosis for rolling bearing based on multilevel denoising method and improved deep residual network;Digital Signal Processing;2023-08
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