| Physics-Embedded Machine Learning: Case Study with Electrochemical Micro-Machining Y Lu, M Rajora, P Zou, SY Liang Machines 5 (1), 2017 | 48 | 2017 |
| Prognosis of Bearing Degradation Using Gradient Variable Forgetting Factor RLS Combined With Time Series Model Y Lu, Q Li, Z Pan, SY Liang IEEE-ACCESS, 1-1, 2018 | 31 | 2018 |
| CEEMD-assisted kernel support vector machines for bearing diagnosis Y Lu, R Xie, SY Liang The International Journal of Advanced Manufacturing Technology, 2020 | 29 | 2020 |
| Physics-based Intelligent Prognosis for Rolling Bearing with Fault Feature Extraction Y Lu, Q Li, SY Liang The International Journal of Advanced Manufacturing Technology, 2018 | 28 | 2018 |
| Adaptive Online Dictionary Learning for Bearing Fault Diagnosis Y Lu, R Xie, SY Liang The International Journal of Advanced Manufacturing Technology, 2018 | 21 | 2018 |
| CEEMD-assisted Bearing Degradation Assessment Using Tight Clustering Y Lu, R Xie, S Liang The International Journal of Advanced Manufacturing Technology, 2019 | 20 | 2019 |
| Bearing fault diagnosis with nonlinear adaptive dictionary learning Y Lu, R Xie, SY Liang The International Journal of Advanced Manufacturing Technology 102, 4227-4239, 2019 | 18 | 2019 |
| Detection of weak fault using sparse empirical wavelet transform for cyclic fault Y Lu, R Xie, SY Liang The International Journal of Advanced Manufacturing Technology, 2018 | 18 | 2018 |
| Bayesian optimized deep convolutional network for bearing diagnosis Y Lu, Z Wang, R Xie, J Zhang, Z Pan, SY Liang The International Journal of Advanced Manufacturing Technology 108, 313-322, 2020 | 15 | 2020 |
| Extraction of Weak Fault Using Combined Dual-Tree Wavelet and Improved MCA for Rolling Bearings Y Lu, R Xie, S Liang The International Journal of Advanced Manufacturing Technology, 2019 | 8 | 2019 |
| Bayesian Optimized Deep Convolutional Network for Electrochemical Drilling Process Y Lu, Z Wang, R Xie, S Liang Journal of Manufacturing and Materials Processing, 2019 | 6 | 2019 |
| Polar coded OFDM signal transmission at the W-band in millimeter-wave system L Zhao, YW Chen, W Zhou, RK Shiu, S Shen, Y Lu, J Yu, GK Chang IEEE Photonics Journal 11 (6), 1-6, 2019 | 5 | 2019 |
| Grain Size Sensitive MTS Model for Ti-6Al-4V Machining Force and Residual Stress Prediction Y Lu, Z Pan, P Bocchini, H Garmestani, SY Liang The International Journal of Advanced Manufacturing Technology, 1-9, 2019 | 4 | 2019 |
| Adaptive Prognosis of Bearing Degradation Based on Wavelet Decomposition Assisted ARMA Model Y Lu, Q Li, SY Liang 2017 IEEE 2nd Information Technology, Networking, Electronic and Automation …, 2018 | 4 | 2018 |
| Intelligent Diagnosis and Signal Processing of Vibration Signal from Rotating Machinery S Liang, Y Lu, R Xie ASPAI 2019 Conference, 2019 | | 2019 |
| Heuristic Intelligent method for Machine Maintenance and Process Optimization. Y Lu Georgia Institute of Technology, Atlanta, GA, USA, 2019 | | 2019 |
| BRIJJIT Force Modulating Tissue Bridges: Update and Strain Analyses FF Eaves, DO Kazmer, G Knight, T Dietz, D Griffin, Y Lu American Society for Aesthetic Plastic Surgery Annual Meeting, 2018 | | 2018 |
