Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Browsing by Subject bearing fault
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 13-Feb-2023 | Deep Transfer Learning for Bearing Fault Diagnosis: A Systematic Review Since 2016 | Chen, X; Yang, R; Xue, Y; Huang, M; Ferrero, R; Wang, Z |
| 29-Oct-2022 | Frequency Domain Feature Extraction and Long Short-Term Memory for Rolling Bearing Fault Diagnosis | Wang, T; Qin, R; Meng, H; Li, M; Cheng, M; Liu, Y |