A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function
Saved in:
| Main Authors: | Weilin Cao, Liqiang Zhang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Public Library of Science (PLoS)
2025-01-01
|
| Series: | PLoS ONE |
| Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12200651/?tool=EBI |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A multi-domain collaborative denoising bearing fault diagnosis model based on dynamic inter-domain attention mechanism and noise-aware loss function.
by: Weilin Cao, et al.
Published: (2025-01-01) -
A Collaborative Domain Adversarial Network for Unlabeled Bearing Fault Diagnosis
by: Zhigang Zhang, et al.
Published: (2024-10-01) -
Denoised Improved Envelope Spectrum for Fault Diagnosis of Aero-Engine Inter-Shaft Bearing
by: Danni Li, et al.
Published: (2025-07-01) -
Research on unsupervised domain adaptive bearing fault diagnosis method
by: WU ShengKai, et al.
Published: (2024-06-01) -
A Bearing Fault Diagnosis Method Based on Dual-Stream Hybrid-Domain Adaptation
by: Xinze Jiao, et al.
Published: (2025-06-01)