Rolling bearing fault feature detection using nonconvex wavelet total variation
Author:
Funder
National Natural Science Foundation of China
Publisher
Elsevier BV
Subject
Applied Mathematics,Electrical and Electronic Engineering,Condensed Matter Physics,Instrumentation
Reference41 articles.
1. An adaptive deep transfer learning method for bearing fault diagnosis;Wu;Measurement,2020
2. Rolling bearing fault diagnosis using variational autoencoding generative adversarial networks with deep regret analysis;Liu;Measurement,2021
3. A reinforcement neural architecture search method for rolling bearing fault diagnosis;Wang;Measurement,2020
4. An enhanced selective ensemble deep learning method for rolling bearing fault diagnosis with beetle antennae search algorithm;Li;Mech. Syst. Sig. Process.,2020
5. Rolling bearing fault feature extraction using Adaptive Resonance-based Sparse Signal Decomposition;Kaibo;Eng. Res. Express,2020
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