| 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 | 132 | 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 | 53 | 2020 |
| 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 | 42 | 2020 |
| 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 | 38 | 2020 |
| A Markov model for short term wind speed prediction by integrating the wind acceleration information W Li, X Jia, X Li, Y Wang, J Lee Renewable Energy 164, 242-253, 2021 | 35 | 2021 |
| Evaluating feature selection and anomaly detection methods of hard drive failure prediction Q Yang, X Jia, X Li, J Feng, W Li, J Lee IEEE Transactions on Reliability 70 (2), 749-760, 2020 | 27 | 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 | 14 | 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 | 12 | 2021 |
| Aero-Engine gas-path fault diagnosis based on spatial structural characteristics of QAR data Y Xu, W Hou, W Li, N Zheng 2018 Annual Reliability and Maintainability Symposium (RAMS), 1-7, 2018 | 10 | 2018 |
| Cross-chamber data transferability evaluation for fault detection and classification in semiconductor manufacturing F Zhu, X Jia, W Li, M Xie, L Li, J Lee IEEE Transactions on Semiconductor Manufacturing 36 (1), 68-77, 2022 | 6 | 2022 |
| Development of multivariate failure threshold with quantifiable operation risks in machine prognostics X Jia, W Li, W Wang, X Li, J Lee Annual Conference of the PHM Society 12 (1), 9-9, 2020 | 4 | 2020 |
| A Novel Quality Clustering Methodology on Fab-Wide Wafer Map Images in Semiconductor Manufacturing YM Hsu, X Jia, W Li, J Lee International Manufacturing Science and Engineering Conference 85819 …, 2022 | 3 | 2022 |
| Sequential optimization of the injection molding gate locations using parallel efficient global optimization YM Hsu, X Jia, W Li, P Manganaris, J Lee The International Journal of Advanced Manufacturing Technology 120 (5), 3805 …, 2022 | 3 | 2022 |
| A novel methodology for lens matching in compact lens module assembly W Li, X Jia, YM Hsu, CH Liao, Y Wang, MT Lin, J Lee IEEE Transactions on Automation Science and Engineering 20 (2), 741-750, 2022 | 3 | 2022 |
| Methodology on establishing multivariate failure thresholds for improved remaining useful life prediction in PHM W Li, X Jia, YM Hsu, Y Liu, J Lee Annual Conference of the PHM Society 13 (1), 2021 | 3 | 2021 |
| A demonstration of build-in test design verification for a typical avionic power circuit using Matlab Stateflow J Shi, W Li, X Guo 2017 Second International Conference on Reliability Systems Engineering …, 2017 | 3 | 2017 |
| An embedded diagnosis semi-physical system of typical avionics based on LabVIEW and MATLAB J Shi, X Guo, W Li 2017 Second International Conference on Reliability Systems Engineering …, 2017 | 2 | 2017 |
| A method of testability optimization based on BIT working mode considering the basic reliability J Shi, X Guo, W Li 2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-6, 2017 | 1 | 2017 |
| Cyber–physical systems framework for AI in smart manufacturing and maintenance J Lee, W Li, YM Hsu, X Jia Artificial Intelligence in Manufacturing, 233-272, 2024 | | 2024 |
| Methodology for Yield Improvement by Addressing Variability and Uncertainty in Advanced Manufacturing Systems and Processes W Li University of Cincinnati, 2023 | | 2023 |
Jay LeeClark Distingusihed Professor and Director of Industrial AI, University of Maryland College ParkGeverifieerd e-mailadres voor umd.edu
