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 diagnosis
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 12-Apr-2021 | Connected Components-based Colour Image Representations of Vibrations for a Two-stage Fault Diagnosis of Roller Bearings Using Convolutional Neural Networks | Ahmed, HOA; Nandi, AK |
| 17-Jul-2023 | Convolutional-Transformer Model with Long-Range Temporal Dependencies for Bearing Fault Diagnosis Using Vibration Signals | Ahmed, HOA; Nandi, AK |
| 13-Jul-2026 | FedRepu: A Reputation-Based Aggregation Strategy for Federated Learning in Bearing Fault Diagnosis | You, Junxian; Yang, Rui; Wang, Zidong |