Research on bearing fault diagnosis based on multi-scale convolu-tional neural networks
Author:
Affiliation:
1. Shenyang University of Technology,College of Artificial Intelligence,Shenyang,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10603448/10603453/10603503.pdf?arnumber=10603503
Reference13 articles.
1. Fault Detection of Linear Bearings in Brushless AC Linear Motors by Vibration Analysis
2. Intelligent fault diagnosis of rolling bearing based on wavelet transform and improved ResNet under noisy labels and environment
3. Experimental investigation on time-domain features in the diagnosis of rolling element bearings by acoustic emission
4. Multiband Envelope Spectra Extraction for Fault Diagnosis of Rolling Element Bearings
5. Wheel-bearing fault diagnosis of trains using empirical wavelet transform
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