| 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 | 2490 | 2019 |
| 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 | 417 | 2018 |
| 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 | 319 | 2019 |
| Deep learning-based human motion recognition for predictive context-aware human-robot collaboration P Wang, H Liu, L Wang, RX Gao CIRP annals 67 (1), 17-20, 2018 | 213 | 2018 |
| Virtualization and deep recognition for system fault classification P Wang, R Yan, RX Gao Journal of Manufacturing Systems 44, 310-316, 2017 | 185 | 2017 |
| A deep learning approach for fault diagnosis of induction motors in manufacturing SY Shao, WJ Sun, RQ Yan, P Wang, RX Gao Chinese Journal of Mechanical Engineering 30, 1347-1356, 2017 | 157 | 2017 |
| Deep learning-based tensile strength prediction in fused deposition modeling J Zhang, P Wang, RX Gao Computers in industry 107, 11-21, 2019 | 155 | 2019 |
| A deep learning-based approach to material removal rate prediction in polishing P Wang, RX Gao, R Yan CIRP annals 66 (1), 429-432, 2017 | 145 | 2017 |
| Digital twin for human-robot interactive welding and welder behavior analysis Q Wang, W Jiao, P Wang, YM Zhang IEEE/CAA Journal of Automatica Sinica 8 (2), 334-343, 2020 | 141 | 2020 |
| Enhanced particle filter for tool wear prediction J Wang, P Wang, RX Gao Journal of Manufacturing Systems 36, 35-45, 2015 | 139 | 2015 |
| Cloud computing for cloud manufacturing: benefits and limitations P Wang, RX Gao, Z Fan Journal of Manufacturing Science and Engineering 137 (4), 040901, 2015 | 137 | 2015 |
| Interpretable convolutional neural network through layer-wise relevance propagation for machine fault diagnosis J Grezmak, J Zhang, P Wang, KA Loparo, RX Gao IEEE Sensors Journal 20 (6), 3172-3181, 2019 | 115 | 2019 |
| Transferable two-stream convolutional neural network for human action recognition Q Xiong, J Zhang, P Wang, D Liu, RX Gao Journal of Manufacturing Systems 56, 605-614, 2020 | 105 | 2020 |
| A tutorial on deep learning-based data analytics in manufacturing through a welding case study Q Wang, W Jiao, P Wang, YM Zhang Journal of Manufacturing Processes 63, 2-13, 2021 | 99 | 2021 |
| Explainable convolutional neural network for gearbox fault diagnosis J Grezmak, P Wang, C Sun, RX Gao Procedia CIRP 80, 476-481, 2019 | 93 | 2019 |
| Deep learning for improved system remaining life prediction J Zhang, P Wang, R Yan, RX Gao Procedia Cirp 72, 1033-1038, 2018 | 82 | 2018 |
| Process modeling in laser powder bed fusion towards defect detection and quality control via machine learning: The state-of-the-art and research challenges P Wang, Y Yang, N Shayesteh Moghaddamd Journal of Manufacturing Processes 73, 961-984, 2022 | 76 | 2022 |
| Heterogeneous data-driven hybrid machine learning for tool condition prognosis P Wang, Z Liu, RX Gao, Y Guo CIRP Annals 68 (1), 455-458, 2019 | 72 | 2019 |
| Adaptive resampling-based particle filtering for tool life prediction P Wang, RX Gao Journal of Manufacturing Systems 37, 528-534, 2015 | 72 | 2015 |
| Hybrid machine learning for human action recognition and prediction in assembly J Zhang, P Wang, RX Gao Robotics and Computer-Integrated Manufacturing 72, 102184, 2021 | 71 | 2021 |
Robert X. GaoCady Staley Professor and Chair, Dept. of Mech. and Aerosp. Engr., Case Western Reserve University在 case.edu 的电子邮件经过验证
