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 Author Ahmed, HOA
Showing results 1 to 12 of 12
| Issue Date | Title | Author(s) |
| 2017 | Classification of bearing faults combining compressive sampling, laplacian score, and support vector machine | Ahmed, HOA; Dennis Wong, ML; Nandi, AK |
| 2018 | Compressive Sampling and Feature Ranking Framework for Bearing Fault Classification with Vibration Signals | Nandi, AK; Ahmed, HOA |
| - | Compressive sensing strategy for classification of bearing faults | Ahmed, HOA; Wong, MLD; Nandi, AK |
| 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 |
| 8-Aug-2020 | Fault Detection and Classification in MMC-HVDC Systems Using Learning Methods | Wang, Q; Yu, Y; Ahmed, HOA; Darwish, M; Nandi, AK |
| 4-Jan-2022 | Intelligent Fault Diagnosis Framework for Modular Multilevel Converters in HVDC Transmission | Ahmed, HOA; Yu, Y; Wang, Q; Darwish, M; Nandi, AK |
| 2019 | Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine | Di, Z; Gong, X; Shi, J; Ahmed, HOA; Nandi, AK |
| 5-Apr-2022 | Intrinsic dimension estimation-based feature selection and multinomial logistic regression for classification of bearing faults using compressively sampled vibration signals | Ahmed, HOA; Nandi, AK |
| 17-Jun-2021 | Open-circuit Fault Detection and Classification of Modular Multilevel Converters in High Voltage Direct Current Systems (MMC-HVDC) with Long Short-Term Memory (LSTM) method | Wang, Q; Yu, Y; Ahmed, HOA; 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 |
| 23-Nov-2022 | Vibration Image Representations for Fault Diagnosis of Rotating Machines: A Review | Ahmed, HOA; Nandi, AK |
