Learning from failures: decision analysis of major disasters A Labib Elsevier, 2014 | 61 | 2014 |
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 | 51 | 2018 |
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 | 9 | 2018 |
Advances in Asset Management and Condition Monitoring: COMADEM 2019 A Ball, L Gelman, BKN Rao Springer International Publishing, 2020 | 6 | 2020 |
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 | 2 | 2020 |
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 | 1 | 2020 |
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 |