Industrial remaining useful life prediction by partial observation using deep learning with supervised attention X Li, X Jia, Y Wang, S Yang, H Zhao, J Lee IEEE/ASME Transactions on Mechatronics 25 (5), 2241-2251, 2020 | 63 | 2020 |
Recent advances and prospects in industrial AI and ap-plications L Jay, LI Xiang, X Yuan-Ming, Y Shaojie, S Ke-Yi Acta Automatica Sinica 46 (10), 2031-2044, 2020 | 20 | 2020 |
Deep learning-based intelligent defect detection of cutting wheels with industrial images in manufacturing S Yang, X Li, X Jia, Y Wang, H Zhao, J Lee Procedia Manufacturing 48, 902-907, 2020 | 19 | 2020 |
工业人工智能及应用研究现状及展望 李杰, 李响, 许元铭, 杨绍杰, 孙可意 自动化学报 46 (10), 2031-2044, 2020 | 12 | 2020 |
A machine vision based monitoring system for the LCD panel cutting wheel degradation Y Wang, X Jia, X Li, S Yang, H Zhao, J Lee Procedia Manufacturing 48, 49-53, 2020 | 10 | 2020 |
Industrial Battery State-of-Health Estimation with Incomplete Limited Data Towards Second-Life Applications S Yang, L Ling, X Li, J Han, S Tong Journal of Dynamics, Monitoring and Diagnostics, 2024 | 6 | 2024 |
State of Health Estimation of Lithium-Ion Batteries Under Random Walk Operation Based on Probability Density Functions L Ling, S Yang, S Tong Available at SSRN 4706895, 0 | 2 | |