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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
612014
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
512018
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
92018
Advances in Asset Management and Condition Monitoring: COMADEM 2019
A Ball, L Gelman, BKN Rao
Springer International Publishing, 2020
62020
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
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
12020
Acknowledgment to Reviewers of Applied Sciences in 2020
Applied Sciences Editorial Office
Applied Sciences 11 (3), 1108, 2021
2021
Proceeding of 2nd International Conference on Maintenance Engineering: IncoME-II 2017
J Sinha
The University of Manchester, 2017
2017
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