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Michael Gallimore
Michael Gallimore
Dean of Engineering & Computing, American International University - Kuwait
Verified email at aiu.edu.kw
Title
Cited by
Cited by
Year
A new bearing fault diagnosis method based on fine-to-coarse multiscale permutation entropy, laplacian score and SVM
Z Huo, Y Zhang, L Shu, M Gallimore
Ieee Access 7, 17050-17066, 2019
712019
Machine fault detection by signal denoising—with application to industrial gas turbines
Y Zhang, C Bingham, Z Yang, BWK Ling, M Gallimore
Measurement 58, 230-240, 2014
602014
Increasing the impact of mathematics support on aiding student transition in higher education
M Gallimore, J Stewart
Teaching Mathematics and Its Applications: International Journal of the IMA …, 2014
462014
Applied fault detection and diagnosis for industrial gas turbine systems
Y Zhang, C Bingham, M Garlick, M Gallimore
International Journal of Automation and Computing 14, 463-473, 2017
362017
Fault detection and diagnosis based on extensions of PCA
Y Zhang, C Bingham, M Gallimore
Advances in Military Technology 8 (2), 2013
362013
Applied sensor fault detection, identification and data reconstruction
Y Zhang, C Bingham, M Gallimore
Advances in Military Technology 8 (2), 2013
142013
Applied sensor fault detection and validation using transposed input data PCA and ANNs
Y Zhang, CM Bingham, M Gallimore, Z Yang, J Chen
2012 IEEE International Conference on Multisensor Fusion and Integration for …, 2012
142012
Novelty detection based on extensions of GMMs for industrial gas turbines
Y Zhang, C Bingham, M Gallimore, D Cox
2015 IEEE International Conference on Computational Intelligence and Virtual …, 2015
132015
Sensor fault detection for industrial gas turbine system by using principal component analysis based y-distance indexes
Y Zhang, CM Bingham, Z Yang, M Gallimore, WK Ling
2012 8th International Symposium on Communication Systems, Networks …, 2012
132012
Steady-state and transient operation discrimination by Variational Bayesian Gaussian Mixture Models
Y Zhang, C Bingham, M Gallimore, J Chen
2013 IEEE International Workshop on Machine Learning for Signal Processing …, 2013
112013
Hybrid hierarchical clustering—piecewise aggregate approximation, with applications
Y Zhang, M Gallimore, C Bingham, J Chen, Y Xu
International Journal of Computational Intelligence and Applications 15 (04 …, 2016
82016
An evolutionary based clustering algorithm applied to dada compression for industrial systems
J Chen, M Mahfouf, C Bingham, Y Zhang, Z Yang, M Gallimore
Advances in Intelligent Data Analysis XI: 11th International Symposium, IDA …, 2012
82012
Machine fault detection during transient operation using measurement denoising
Y Zhang, C Bingham, M Gallimore, Z Yang, J Chen
2013 IEEE International Conference on Computational Intelligence and Virtual …, 2013
72013
Applied sensor fault detection and identification using hierarchical clustering and SOMNNs, with faulted-signal reconstruction
Y Zhang, C Bingham, Z Yang, M Gallimore, P Stewart
Proceedings of 15th International Conference MECHATRONIKA, 1-7, 2012
62012
Sensor fault detection for industrial systems using a hierarchical clustering-based graphical user interface
Y Zhang, CM Bingham, M Gallimore, Z Yang, J Chen
2012 IEEE International Conference on Multisensor Fusion and Integration for …, 2012
62012
Intelligent data compression, diagnostics and prognostics using an evolutionary-based clustering algorithm for industrial machines
J Chen, M Gallimore, C Bingham, M Mahfouf, Y Zhang
University of Lincoln, 2013
52013
Sensor fault detection and diagnosis based on SOMNNs for steady-state and transient operation
Y Zhang, C Bingham, M Gallimore, Z Yang, J Chen
2013 IEEE International Conference on Computational Intelligence and Virtual …, 2013
52013
Trend extraction based on Hilbert-Huang transform
Z Yang, C Bingham, BWK Ling, M Gallimore, P Stewart, Y Zhang
2012 8th International Symposium on Communication Systems, Networks …, 2012
52012
Unit operational pattern analysis and forecasting using EMD and SSA for industrial systems
Z Yang, C Bingham, WK Ling, Y Zhang, M Gallimore, J Stewart
Advances in Intelligent Data Analysis XI: 11th International Symposium, IDA …, 2012
42012
Operational pattern analysis for predictive maintenance scheduling of industrial systems
Y Zhang, C Bingham, M Gallimore, S Maleki
2015 IEEE International Conference on Computational Intelligence and Virtual …, 2015
32015
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