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Alasmer Ibrahim
Alasmer Ibrahim
Ph.D student, School of Engineering, Cardiff Univerity, United Kingdom (Great Britain)
Adresse e-mail validée de cardiff.ac.uk - Page d'accueil
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Année
New Hybrid Invasive Weed Optimization and Machine Learning Approach for Fault Detection
OAA Alasmer Ibrahim , Fatih Anayi , Michael Packianather
Energies 15 (4), 1488, 2022
432022
New transfer learning approach based on a CNN for fault diagnosis
A Ibrahim, F Anayi, M Packianather
Engineering Proceedings 24 (1), 16, 2022
162022
New machine learning model-based fault diagnosis of induction motors using thermal images
A Ibrahim, F Anayi, M Packianather
2022 2nd International Conference on Advance Computing and Innovative …, 2022
92022
New hybrid machine learning method for detecting faults in three-phase power transformers
O Abdusalam, A Ibrahim, F Anayi, M Packianather
Energies 15 (11), 3905, 2022
42022
Novel deep network-based transfer learning approach for fault detection of three-phase induction motor
A Ibrahim, F Anayi, M Packianather
2022 2nd International Conference on Advance Computing and Innovative …, 2022
42022
Detection of three-phase induction motor faults using deep network-based transfer learning techniques
A Ibrahim, F Anayi, M Packianather
2022 IEEE 2nd International Maghreb Meeting of the Conference on Sciences …, 2022
12022
An efficient model for induction motor fault detection using a deep transfer learning network
A Ibrahim, F Anayi, M Packianather
International Conference on Innovations in Energy Engineering & Cleaner …, 2022
12022
New hybrid deep learning approach using transfer learning for fault classification
A Ibrahim, F Anayi, M Packianather
MDPI, 2024
2024
Fault classification in three-phase squirrel cage induction motor using artificial intelligence techniques
A Ibrahim
Cardiff University, 2023
2023
New Hybrid Invasive Weed Optimization and Machine Learning Approach for Fault Detection. Energies 2022, 15, 1488
A Ibrahim, F Anayi, M Packianather, OA Alomari
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
New Hybrid Machine Learning Method for Detecting Faults in Three-Phase Power Transformers. Energies 2022, 15, 3905
O Abdusalam, A Ibrahim, F Anayi, M Packianather
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
New Transfer Learning Approach Based on a CNN for Fault Diagnosis. Eng. Proc. 2022, 24, 16
A Ibrahim, F Anayi, M Packianather
s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022
2022
Novel Hybrid Invasive Weed Optimization and Machine Learning Approach for Fault Detection
OA Alasmer Ibrahim , Fatih Anayi, Michael Packianather
2021 56th International Universities Power Engineering Conference (UPEC), 1-6, 2021
2021
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