| Fault diagnosis for rotating machinery using multiple sensors and convolutional neural networks M Xia, T Li, L Xu, L Liu, CW De Silva IEEE/ASME transactions on mechatronics 23 (1), 101-110, 2017 | 729 | 2017 |
| Intelligent fault diagnosis of rotor-bearing system under varying working conditions with modified transfer convolutional neural network and thermal images H Shao, M Xia, G Han, Y Zhang, J Wan IEEE Transactions on Industrial Informatics 17 (5), 3488-3496, 2020 | 410 | 2020 |
| Fog computing for energy-aware load balancing and scheduling in smart factory J Wan, B Chen, S Wang, M Xia, D Li, C Liu IEEE Transactions on Industrial Informatics 14 (10), 4548-4556, 2018 | 368 | 2018 |
| Intelligent fault diagnosis of machinery using digital twin-assisted deep transfer learning M Xia, H Shao, D Williams, S Lu, L Shu, CW de Silva Reliability Engineering & System Safety 215, 107938, 2021 | 303 | 2021 |
| Multi-scale deep intra-class transfer learning for bearing fault diagnosis X Wang, C Shen, M Xia, D Wang, J Zhu, Z Zhu Reliability Engineering & System Safety 202, 107050, 2020 | 285 | 2020 |
| A stacked GRU-RNN-based approach for predicting renewable energy and electricity load for smart grid operation M Xia, H Shao, X Ma, CW De Silva IEEE Transactions on Industrial Informatics 17 (10), 7050-7059, 2021 | 282 | 2021 |
| A two-stage approach for the remaining useful life prediction of bearings using deep neural networks M Xia, T Li, T Shu, J Wan, CW De Silva, Z Wang IEEE Transactions on Industrial Informatics 15 (6), 3703-3711, 2018 | 277 | 2018 |
| A hybrid computing solution and resource scheduling strategy for edge computing in smart manufacturing X Li, J Wan, HN Dai, M Imran, M Xia, A Celesti IEEE Transactions on Industrial Informatics 15 (7), 4225-4234, 2019 | 236 | 2019 |
| Modified stacked autoencoder using adaptive Morlet wavelet for intelligent fault diagnosis of rotating machinery H Shao, M Xia, J Wan, CW de Silva IEEE/ASME Transactions on Mechatronics 27 (1), 24-33, 2021 | 181 | 2021 |
| Adversarial domain-invariant generalization: A generic domain-regressive framework for bearing fault diagnosis under unseen conditions L Chen, Q Li, C Shen, J Zhu, D Wang, M Xia IEEE Transactions on Industrial Informatics 18 (3), 1790-1800, 2021 | 155 | 2021 |
| Intelligent fault diagnosis approach with unsupervised feature learning by stacked denoising autoencoder M Xia, T Li, L Liu, L Xu, CW de Silva IET Science, Measurement & Technology 11 (6), 687-695, 2017 | 133 | 2017 |
| Data-driven prognosis method using hybrid deep recurrent neural network M Xia, X Zheng, M Imran, M Shoaib Applied Soft Computing 93, 106351, 2020 | 99 | 2020 |
| Closed-loop design evolution of engineering system using condition monitoring through internet of things and cloud computing M Xia, T Li, Y Zhang, CW De Silva Computer Networks 101, 5-18, 2016 | 79 | 2016 |
| Efficient data reduction at the edge of industrial Internet of Things for PMSM bearing fault diagnosis X Wang, S Lu, W Huang, Q Wang, S Zhang, M Xia IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2021 | 78 | 2021 |
| Fault diagnosis of a rotor-bearing system under variable rotating speeds using two-stage parameter transfer and infrared thermal images H Shao, W Li, M Xia, Y Zhang, C Shen, D Williams, A Kennedy, ... IEEE Transactions on instrumentation and measurement 70, 1-11, 2021 | 68 | 2021 |
| A dynamic model for the planetary bearings in a double planetary gear set J Liu, X Li, M Xia Mechanical Systems and Signal Processing 194, 110257, 2023 | 66 | 2023 |
| Cross-domain augmentation diagnosis: An adversarial domain-augmented generalization method for fault diagnosis under unseen working conditions Q Li, L Chen, L Kong, D Wang, M Xia, C Shen Reliability Engineering & System Safety 234, 109171, 2023 | 65 | 2023 |
| A new adversarial domain generalization network based on class boundary feature detection for bearing fault diagnosis J Li, C Shen, L Kong, D Wang, M Xia, Z Zhu IEEE Transactions on Instrumentation and Measurement 71, 1-9, 2022 | 65 | 2022 |
| Automated water quality survey and evaluation using an IoT platform with mobile sensor nodes T Li, M Xia, J Chen, Y Zhao, C De Silva Sensors 17 (8), 1735, 2017 | 58 | 2017 |
| Cross-network fusion and scheduling for heterogeneous networks in smart factory J Wan, J Yang, S Wang, D Li, P Li, M Xia IEEE Transactions on Industrial Informatics 16 (9), 6059-6068, 2019 | 49 | 2019 |
Clarence de SilvaProfessor of Mechanical Engineering, The University of British ColumbiaOverená e-mailová adresa na: mech.ubc.ca