Disentangle-and-aggregate feature learning (DAFNet) for motor bearing fault diagnosis
- DOI
- 10.1038/s41598-025-34490-6
- Published
- 2
- Container
- Scientific Reports
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-34490-6,
title = {Disentangle-and-aggregate feature learning (DAFNet) for motor bearing fault diagnosis},
author = {Jing Tang and Canjun Xiao and Dong Guo and Jiao Bao and Xu Ji and Chenyu Wang},
year = {2026},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-34490-6},
url = {https://doi.org/10.1038/s41598-025-34490-6}
}RIS
TY - JOUR TI - Disentangle-and-aggregate feature learning (DAFNet) for motor bearing fault diagnosis AU - Jing Tang AU - Canjun Xiao AU - Dong Guo AU - Jiao Bao AU - Xu Ji AU - Chenyu Wang PY - 2026 JO - Scientific Reports DO - 10.1038/s41598-025-34490-6 UR - https://doi.org/10.1038/s41598-025-34490-6 ER -
APA
Tang, J., Xiao, C., Guo, D., Bao, J., Ji, X., & Wang, C. (2026). Disentangle-and-aggregate feature learning (DAFNet) for motor bearing fault diagnosis. Scientific Reports. https://doi.org/10.1038/s41598-025-34490-6
Source records
- doaj · retrieved 2026-09-27T09:29:19.250Z