Bearing fault diagnosis based on POA-VMD with GADF-Swin Transformer transfer learning network
Author:
Funder
Yangtze University
Jingchu University of Technology
Publisher
Elsevier BV
Reference52 articles.
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2. An improved GNN using dynamic graph embedding mechanism: A novel end-to-end framework for rolling bearing fault diagnosis under variable working conditions;Yu;Mech. Syst. Signal Process.,2023
3. Smart multichannel mode extraction for enhanced bearing fault diagnosis;Song;Mech. Syst. Signal Process.,2023
4. Machinery multi-sensor fault diagnosis based on adaptive multivariate feature mode decomposition and multi-attention fusion residual convolutional neural network;Yan;Mech. Syst. Signal Process.,2023
5. A novel hybrid method based on KELM with SAPSO for fault diagnosis of rolling bearing under variable operating conditions;Su;Measurement,2021
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