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Kenisuomo C. Luwei
Title
Cited by
Cited by
Year
Learning from failures: decision analysis of major disasters
A Labib
Elsevier, 2014
652014
Integrated fault detection framework for classifying rotating machine faults using frequency domain data fusion and artificial neural networks
KC Luwei, A Yunusa-Kaltungo, YA Sha’aban
Machines 6 (4), 59, 2018
602018
Data fusion of acceleration and velocity features (dFAVF) approach for fault diagnosis in rotating machines
KC Luwei, JK Sinha, A Yunusa-Kaltungo, K Elbhbah
MATEC Web of Conferences 211, 21005, 2018
112018
Vibration-based fault identification for rotor and ball bearing in rotating machines
KC Luwei
PQDT-UK & Ireland, 2022
62022
Advances in Asset Management and Condition Monitoring: COMADEM 2019
A Ball, L Gelman, BKN Rao
Springer International Publishing, 2020
62020
Data combination for a consolidated diagnosis of rotor and bearing faults
KC Luwei, A Yunusa-Kaltungo
12th International Conference on Vibrations in Rotating Machinery, 388-399, 2020
22020
Comparison of Amplitude to Real and Imaginary Features of the poly-Coherent Composite Bispectrum (pCCB) Components in Machine Diagnosis
KC Luwei, JK Sinha, A Yunusa-Kaltungo
Advances in Asset Management and Condition Monitoring: COMADEM 2019, 1-8, 2020
22020
Innovations in cardiac conduction system research: female frontiers and global disparities
AJ Aminu, KC Luwei, H Dobrzynski
Translational Research in Anatomy, 100330, 2024
2024
Acknowledgment to the Reviewers of Machines in 2022
Machines Editorial Office
Machines 11 (2), 130, 2023
2023
Acknowledgment to Reviewers of Applied Sciences in 2021
Applied Sciences Editorial Office
Applied Sciences 12 (4), 1981, 2022
2022
Proceeding of 2nd International Conference on Maintenance Engineering: IncoME-II 2017
J Sinha
The University of Manchester, 2017
2017
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Articles 1–11