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 classification
Showing results 1 to 2 of 2
| Issue Date | Title | Author(s) |
|---|---|---|
| 13-Aug-2018 | Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification With Vibration Signals | Ahmed, HOA; Nandi, AK |
| 24-Sep-2018 | Three-stage Hybrid Fault Diagnosis for Rolling Bearings with Compressively-sampled data and Subspace Learning Techniques | Ahmed, HOA; Nandi, AK |