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Samuel M. Gbashi
Samuel M. Gbashi
Joseph Sarwuan Tarka University, Makurdi, Nigeria
Verified email at uam.edu.ng
Title
Cited by
Cited by
Year
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
52022
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
32017
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
12023
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
2024
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
2023
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
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
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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