Ikuti
H O A Ahmed
H O A Ahmed
Research Fellow in Advanced 3D Imaging and Big Data Analytics at Brunel University London
Email yang diverifikasi di brunel.ac.uk
Judul
Dikutip oleh
Dikutip oleh
Tahun
Intelligent condition monitoring method for bearing faults from highly compressed measurements using sparse over-complete features
HOA Ahmed, MLD Wong, AK Nandi
Mechanical Systems and Signal Processing 99, 459-477, 2018
1572018
Condition monitoring with vibration signals: Compressive sampling and learning algorithms for rotating machines
H Ahmed, AK Nandi
John Wiley & Sons, 2020
1382020
Internet addiction disorder detection of Chinese college students using several personality questionnaire data and support vector machine
Z Di, X Gong, J Shi, HOA Ahmed, AK Nandi
Addictive behaviors reports 10, 100200, 2019
572019
Compressive sampling and feature ranking framework for bearing fault classification with vibration signals
H Ahmed, AK Nandi
IEEE Access 6, 44731-44746, 2018
552018
Three-stage hybrid fault diagnosis for rolling bearings with compressively sampled data and subspace learning techniques
HOA Ahmed, AK Nandi
IEEE Transactions on Industrial Electronics 66 (7), 5516-5524, 2018
542018
Fault detection and classification in MMC-HVDC systems using learning methods
Q Wang, Y Yu, HOA Ahmed, M Darwish, AK Nandi
Sensors 20 (16), 4438, 2020
492020
Connected components-based colour image representations of vibrations for a two-stage fault diagnosis of roller bearings using convolutional neural networks
HOA Ahmed, AK Nandi
Chinese Journal of Mechanical Engineering 34 (1), 37, 2021
362021
Vibration image representations for fault diagnosis of rotating machines: a review
HOA Ahmed, AK Nandi
Machines 10 (12), 1113, 2022
232022
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
Q Wang, Y Yu, HOA Ahmed, M Darwish, AK Nandi
Sensors 21 (12), 4159, 2021
192021
Compressive sensing strategy for classification of bearing faults
HOA Ahmed, MLD Wong, AK Nandi
2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017
192017
Effects of deep neural network parameters on classification of bearing faults
HOA Ahmed, MLD Wong, AK Nandi
IECON 2016-42nd Annual Conference of the IEEE Industrial Electronics Society …, 2016
172016
Convolutional-transformer model with long-range temporal dependencies for bearing fault diagnosis using vibration signals
HOA Ahmed, AK Nandi
Machines 11 (7), 746, 2023
152023
Decision trees and random forests
H Ahmed, AK Nandi
Wiley-IEEE Press, 2019
142019
Classification Algorithm Validation
H Ahmed, AK Nandi
Wiley-IEEE Press, 2019
132019
Artificial neural networks (ANNs)
H Ahmed, AK Nandi
Wiley-IEEE Press, 2019
122019
Intelligent fault diagnosis framework for modular multilevel converters in HVDC transmission
HOA Ahmed, Y Yu, Q Wang, M Darwish, AK Nandi
Sensors 22 (1), 362, 2022
112022
Classification of bearing faults combining compressive sampling, laplacian score, and support vector machine
HOA Ahmed, MLD Wong, AK Nandi
IECON 2017-43rd Annual Conference of the IEEE Industrial Electronics Society …, 2017
112017
Study and evaluation of pre-trained CNN networks for cultural heritage image classification
A Belhi, HO Ahmed, T Alfaqheri, A Bouras, AH Sadka, S Foufou
Data Analytics for Cultural Heritage: Current Trends and Concepts, 47-69, 2021
102021
Three-stage method for rotating machine health condition monitoring using vibration signals
H Ahmed, A Nandi
2018 Prognostics and System Health Management Conference (PHM-Chongqing …, 2018
102018
Multiple measurement vector compressive sampling and fisher score feature selection for fault classification of roller bearings
HOA Ahmed, AK Nandi
2017 22nd International Conference on Digital Signal Processing (DSP), 1-5, 2017
92017
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