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Robert X. Gao
Robert X. Gao
Cady Staley Professor and Chair, Dept. of Mech. and Aerosp. Engr., Case Western Reserve University
Verified email at case.edu
Title
Cited by
Cited by
Year
Deep learning and its applications to machine health monitoring
R Zhao, R Yan, Z Chen, K Mao, P Wang, RX Gao
Mechanical Systems and Signal Processing 115, 213-237, 2019
25782019
Deep learning for smart manufacturing: Methods and applications
J Wang, Y Ma, L Zhang, RX Gao, D Wu
Journal of manufacturing systems 48, 144-156, 2018
17252018
Wavelets for fault diagnosis of rotary machines: A review with applications
R Yan, RX Gao, X Chen
Signal processing 96, 1-15, 2014
14682014
PCA-based feature selection scheme for machine defect classification
A Malhi, RX Gao
IEEE transactions on instrumentation and measurement 53 (6), 1517-1525, 2004
7392004
A comparative study on machine learning algorithms for smart manufacturing: tool wear prediction using random forests
D Wu, C Jennings, J Terpenny, RX Gao, S Kumara
Journal of Manufacturing Science and Engineering 139 (7), 071018, 2017
6822017
Wavelets: Theory and applications for manufacturing
RX Gao, R Yan
Springer Science & Business Media, 2010
6302010
Approximate entropy as a diagnostic tool for machine health monitoring
R Yan, RX Gao
Mechanical Systems and Signal Processing 21 (2), 824-839, 2007
5302007
Symbiotic human-robot collaborative assembly
L Wang, R Gao, J Váncza, J Krüger, XV Wang, S Makris, G Chryssolouris
CIRP annals 68 (2), 701-726, 2019
5262019
Digital Twin for rotating machinery fault diagnosis in smart manufacturing
J Wang, L Ye, RX Gao, C Li, L Zhang
International Journal of Production Research 57 (12), 3920-3934, 2019
4972019
Cloud-enabled prognosis for manufacturing
R Gao, L Wang, R Teti, D Dornfeld, S Kumara, M Mori, M Helu
CIRP annals 64 (2), 749-772, 2015
4712015
Long short-term memory for machine remaining life prediction
J Zhang, P Wang, R Yan, RX Gao
Journal of manufacturing systems 48, 78-86, 2018
4322018
Permutation entropy: A nonlinear statistical measure for status characterization of rotary machines
R Yan, Y Liu, RX Gao
Mechanical Systems and Signal Processing 29, 474-484, 2012
4222012
Artificial intelligence in advanced manufacturing: Current status and future outlook
JF Arinez, Q Chang, RX Gao, C Xu, J Zhang
Journal of Manufacturing Science and Engineering 142 (11), 110804, 2020
4192020
Hilbert–Huang transform-based vibration signal analysis for machine health monitoring
R Yan, RX Gao
IEEE Transactions on Instrumentation and measurement 55 (6), 2320-2329, 2006
4112006
Machine learning-based image processing for on-line defect recognition in additive manufacturing
A Caggiano, J Zhang, V Alfieri, F Caiazzo, R Gao, R Teti
CIRP annals 68 (1), 451-454, 2019
4032019
WaveletKernelNet: An interpretable deep neural network for industrial intelligent diagnosis
T Li, Z Zhao, C Sun, L Cheng, X Chen, R Yan, RX Gao
IEEE Transactions on Systems, Man, and Cybernetics: Systems 52 (4), 2302-2312, 2021
3432021
DCNN-based multi-signal induction motor fault diagnosis
S Shao, R Yan, Y Lu, P Wang, RX Gao
IEEE Transactions on Instrumentation and Measurement 69 (6), 2658-2669, 2019
3402019
Prognosis of defect propagation based on recurrent neural networks
A Malhi, R Yan, RX Gao
IEEE Transactions on Instrumentation and Measurement 60 (3), 703-711, 2011
3372011
A fog computing-based framework for process monitoring and prognosis in cyber-manufacturing
D Wu, S Liu, L Zhang, J Terpenny, RX Gao, T Kurfess, JA Guzzo
Journal of Manufacturing Systems 43, 25-34, 2017
3212017
Performance enhancement of ensemble empirical mode decomposition
J Zhang, R Yan, RX Gao, Z Feng
Mechanical Systems and Signal Processing 24 (7), 2104-2123, 2010
2862010
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