Rolling bearing fault diagnosis method based on dual attention multi-scale convolutional network.
Saved in:
| Title: | Rolling bearing fault diagnosis method based on dual attention multi-scale convolutional network. |
|---|---|
| Authors: | Zhang Y; School of Intelligent Science and Engineering, Xi'an Peihua University, Xi'an, China., Liu X; Trine Engineering Institute, Shaanxi University of Technology, Hanzhong, China. |
| Source: | PloS one [PLoS One] 2026 Sep 21; Vol. 21 (9), pp. e0358253. Date of Electronic Publication: 2026 Sep 21 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 1932-6203 |
|---|---|
| DOI: | 10.1371/journal.pone.0358253 |
