| Gaussian process regression for numerical wind speed prediction enhancement H Cai, X Jia, J Feng, W Li, YM Hsu, J Lee Renewable energy 146, 2112-2123, 2020 | 192 | 2020 |
| Similarity-based particle filter for remaining useful life prediction with enhanced performance H Cai, J Feng, W Li, YM Hsu, J Lee Applied Soft Computing 94, 106474, 2020 | 70 | 2020 |
| A review of PHM Data Competitions from 2008 to 2017: Methodologies and Analytics X Jia, B Huang, J Feng, H Cai, J Lee Proceedings of the Annual Conference of the Prognostics and Health …, 2018 | 67 | 2018 |
| A similarity based methodology for machine prognostics by using kernel two sample test H Cai, X Jia, J Feng, W Li, L Pahren, J Lee ISA transactions 103, 112-121, 2020 | 57 | 2020 |
| A combined filtering strategy for short term and long term wind speed prediction with improved accuracy H Cai, X Jia, J Feng, Q Yang, YM Hsu, Y Chen, J Lee Renewable energy 136, 1082-1090, 2019 | 53 | 2019 |
| A virtual metrology method with prediction uncertainty based on Gaussian process for chemical mechanical planarization H Cai, J Feng, Q Yang, W Li, X Li, J Lee Computers in Industry 119, 103228, 2020 | 44 | 2020 |
| Fault prognosis of industrial robots in dynamic working regimes: Find degradation in variations Q Yang, X Li, H Cai, YM Hsu, J Lee, CH Yang, ZL Li, MY Lin Measurement 173, 108545, 2021 | 33 | 2021 |
| Adaptive virtual metrology method based on Just-in-time reference and particle filter for semiconductor manufacturing H Cai, J Feng, F Zhu, Q Yang, X Li, J Lee Measurement 168, 108338, 2021 | 22 | 2021 |
| Cross trajectory gaussian process regression model for battery health prediction J Feng, X Jia, H Cai, F Zhu, X Li, J Lee Journal of modern power systems and clean energy 9 (5), 1217-1226, 2020 | 19 | 2020 |
| A novel similarity-based method for remaining useful life prediction using kernel two sample test X Jia, H Cai, Y Hsu, W Li, J Feng, J Lee Proceedings of the Annual Conference of the PHM Society 11, 2019 | 17 | 2019 |
| A unified Bayesian filtering framework for multi-horizon wind speed prediction with improved accuracy H Cai, X Jia, J Feng, Q Yang, W Li, F Li, J Lee Renewable Energy 178, 709-719, 2021 | 15 | 2021 |
| Mining frequent trajectory patterns of WIP in Internet of Things-based spatial-temporal database H Cai, Y Guo, WA Yang, K Lu International Journal of Computer Integrated Manufacturing 30 (12), 1253-1271, 2017 | 11 | 2017 |
| A framework for semi-automated fault detection configuration with automated feature extraction and limits setting H Cai, J Feng, J Moyne, J Iskandar, M Armacost, F Li, J Lee 2020 31st Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC …, 2020 | 9 | 2020 |
| Reference-based virtual metrology method with uncertainty evaluation for material removal rate prediction based on Gaussian process regression H Cai, J Feng, Q Yang, F Li, X Li, J Lee The International Journal of Advanced Manufacturing Technology 116 (3), 1199 …, 2021 | 7 | 2021 |
| A location prediction method for work-in-process based on frequent trajectory patterns H Cai, Y Guo, K Lu Proceedings of the Institution of Mechanical Engineers, Part B: Journal of …, 2019 | 7 | 2019 |
| Combining feature extraction-based and full trace analysis capabilities in fault detection: Methods and comparative analysis F Li, H Cai, J Moyne, J Iskandar, M Armacost, J Lee 2021 32nd Annual SEMI Advanced Semiconductor Manufacturing Conference (ASMC …, 2021 | 3 | 2021 |
| A systematic framework for maintenance scheduling and routing for off-shore wind farms by minimizing predictive production loss J Feng, H Cai, Z Liu, J Lee E3S Web of Conferences 233, 01063, 2021 | 2 | 2021 |
| A simplified convolutional sparse filter for impulsive signature enhancement and its application to the prognostic of rotating machinery X Jia, M Zhao, H Cai, J Lee arXiv preprint arXiv:1808.03587, 2018 | 2 | 2018 |
| Modeling of High-Dimensional Industrial Data for Enhanced PHM using Time Series Based Integrated Fusion and Filtering Techniques H Cai University of Cincinnati, 2022 | | 2022 |
| 基于实时数据的离散制造车间在制品流转状态研究 蔡浩舒 南京航空航天大学, 2017 | | 2017 |
Jay LeeClark Distingusihed Professor and Director of Industrial AI, University of Maryland College ParkEmail được xác minh tại umd.edu