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Samuel M. Gbashi
Samuel M. Gbashi
University of Johannesburg, South Africa
Подтвержден адрес электронной почты в домене uam.edu.ng
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Процитировано
Процитировано
Год
Wind turbine main bearing: a mini review of its failure modes and condition monitoring techniques
SM Gbashi, N Madushele, OO Olatunji, PA Adedeii, TC Jen
2022 IEEE 13th International Conference on Mechanical and Intelligent …, 2022
102022
Hyperparameter Optimization on CNN Using Hyperband for fault identification in wind turbine high-speed shaft gearbox bearing
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
2023 International Conference on Electrical, Computer and Energy …, 2023
62023
From academic to industrial research: A comparative review of advances in rolling element bearings for wind turbine main shaft
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
Engineering Failure Analysis, 108510, 2024
52024
A hybrid empirical mode decomposition (EMD)-support vector machine (SVM) for multi-fault recognition in a wind turbine gearbox
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
2023 International Conference on Electrical, Computer and Energy …, 2023
52023
Design, Construction and Testing of an Electric Powered Toggle Jack Mechanism
TD Ipilakyaa, VT Achirgbenda, S Gbashi
International Research Journal of Engineering and Technology 4 (02), 2017
42017
Transfer Learning Strategy for Fault Identification in Wind Turbine High-Speed Shaft Bearing with Limited Samples
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
R&D Journal 40, 1-5, 2024
32024
Exploring evolutionary-tuned autoencoder-based architectures for fault diagnosis in a wind turbine gearbox
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
Smart Science, 1-21, 2024
22024
A Bio-Inspired Framework for Hyperparameter Optimization of an XGBoost Model in Main Bearing Fault Diagnostics
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
2024 IEEE PES/IAS PowerAfrica, 01-07, 2024
12024
Hybrid quantum convolutional neural network for defect detection in a wind turbine gearbox
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
2024 IEEE PES/IAS PowerAfrica, 01-06, 2024
12024
Control Chart-Integrated Machine Learning Models for Incipient Fault Detection in Wind Turbine Main Bearing
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
Available at SSRN 4823379, 0
1
Optimal feature selection for a weighted k-nearest neighbors for compound fault classification in wind turbine gearbox
SM Gbashi, PA Adedeji, OO Olatunji, N Madushele
Results in Engineering 25, 103791, 2025
2025
Effect of Extraction Method on the Functional Properties of Oils of Selected Oilseeds as Potential Feedstock for Biodiesel Production
SM Gbashi, IK Omenka, KN Nwankwo
2019
Development and Evaluation of a Laboratory-Scale Test Rig Prototype for Full Characterization of Wind Turbine Main Bearing Dynamics and Condition Monitoring
SM Gbashi, OO Olatunji, PA Adedeji, N Madushele
Available at SSRN 5125108, 0
EFFECT OF CUT THICKNESS AND CUTTING SPEED ON CUTTING FORCES IN ORTHOGONAL CUTTING OF MILD CARBON STEEL (CS1030)
TD IPILAKYAA, DT GUNDU, S GBASHI
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