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 principal component analysis (PCA)
Showing results 1 to 3 of 3
| Issue Date | Title | Author(s) |
|---|---|---|
| 14-Oct-2020 | Inspection by exception: A new machine learning-based approach for multistage manufacturing | Papananias, M; McLeay, TE; Obajemu, O; Mahfouf, M; Kadirkamanathan, V |
| 4-Jan-2022 | Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission | Ahmed, HOA; Yu, Y; Wang, Q; Darwish, M; 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 |