| Deep learning and its applications to machine health monitoring: A survey R Zhao, R Yan, Z Chen, K Mao, P Wang, RX Gao Mechanical Systems and Signal Processing 115, 213-237, 2019 | 2544 | 2019 |
| Machine health monitoring using local feature-based gated recurrent unit networks R Zhao, D Wang, R Yan, K Mao, F Shen, J Wang IEEE Transactions on Industrial Electronics 65 (2), 1539-1548, 2017 | 804 | 2017 |
| A sparse auto-encoder-based deep neural network approach for induction motor faults classification W Sun, S Shao, R Zhao, R Yan, X Zhang, X Chen Measurement 89, 171-178, 2016 | 769 | 2016 |
| Learning to monitor machine health with convolutional bi-directional LSTM networks R Zhao, R Yan, J Wang, K Mao Sensors 17 (2), 273, 2017 | 761 | 2017 |
| Machine remaining useful life prediction via an attention-based deep learning approach Z Chen, M Wu, R Zhao, F Guretno, R Yan, X Li IEEE Transactions on Industrial Electronics 68 (3), 2521-2531, 2020 | 418 | 2020 |
| Convolutional discriminative feature learning for induction motor fault diagnosis W Sun, R Zhao, R Yan, S Shao, X Chen IEEE Transactions on Industrial Informatics 13 (3), 1350-1359, 2017 | 304 | 2017 |
| Fuzzy bag-of-words model for document representation R Zhao, K Mao IEEE transactions on fuzzy systems 26 (2), 794-804, 2017 | 292 | 2017 |
| Automatic detection of cyberbullying on social networks based on bullying features R Zhao, A Zhou, K Mao Proceedings of the 17th international conference on distributed computing …, 2016 | 266 | 2016 |
| Machine health monitoring with LSTM networks R Zhao, J Wang, R Yan, K Mao 2016 10th international conference on sensing technology (ICST), 1-6, 2016 | 257 | 2016 |
| Multisensory fusion based virtual tool wear sensing for ubiquitous manufacturing J Wang, J Xie, R Zhao, L Zhang, L Duan Robotics and computer-integrated manufacturing 45, 47-58, 2017 | 214 | 2017 |
| Deep heterogeneous GRU model for predictive analytics in smart manufacturing: Application to tool wear prediction J Wang, J Yan, C Li, RX Gao, R Zhao Computers in Industry 111, 1-14, 2019 | 208 | 2019 |
| Physics guided neural network for machining tool wear prediction J Wang, Y Li, R Zhao, RX Gao Journal of Manufacturing Systems 57, 298-310, 2020 | 183 | 2020 |
| Multilevel information fusion for induction motor fault diagnosis J Wang, P Fu, L Zhang, RX Gao, R Zhao IEEE/ASME Transactions on Mechatronics 24 (5), 2139-2150, 2019 | 151 | 2019 |
| Cyberbullying detection based on semantic-enhanced marginalized denoising auto-encoder R Zhao, K Mao IEEE Transactions on Affective Computing 8 (3), 328-339, 2016 | 150 | 2016 |
| Multiview convolutional neural networks for multidocument extractive summarization Y Zhang, MJ Er, R Zhao, M Pratama IEEE transactions on cybernetics 47 (10), 3230-3242, 2016 | 104 | 2016 |
| Building occupancy estimation with environmental sensors via CDBLSTM Z Chen, R Zhao, Q Zhu, MK Masood, YC Soh, K Mao IEEE Transactions on Industrial Electronics 64 (12), 9549-9559, 2017 | 71 | 2017 |
| A new probabilistic kernel factor analysis for multisensory data fusion: application to tool condition monitoring J Wang, J Xie, R Zhao, K Mao, L Zhang IEEE Transactions on Instrumentation and Measurement 65 (11), 2527-2537, 2016 | 52 | 2016 |
| Dual-scale cascaded adaptive stochastic resonance for rotary machine health monitoring R Zhao, R Yan, RX Gao Journal of Manufacturing Systems 32 (4), 529-535, 2013 | 46 | 2013 |
| Topic-aware deep compositional models for sentence classification R Zhao, K Mao IEEE/ACM Transactions on Audio, Speech, and Language Processing 25 (2), 248-260, 2016 | 41 | 2016 |
| Decoupled feature-temporal CNN: Explaining deep learning-based machine health monitoring C Zhu, Z Chen, R Zhao, J Wang, R Yan IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021 | 32 | 2021 |
Kezhi MaoNanyang Technological UniversityVerified email at ntu.edu.sg
