| A systematic review of machine learning algorithms for prognostics and health management of rolling element bearings: fundamentals, concepts and applications J Singh, M Azamfar, F Li, J Lee Measurement Science and Technology 32 (1), 012001, 2020 | 83* | 2020 |
| Multi-step wind speed prediction based on turbulence intensity and hybrid deep neural networks F Li, G Ren, J Lee Energy conversion and management 186, 306-322, 2019 | 79 | 2019 |
| The analysis of turbulence intensity based on wind speed data in onshore wind farms G Ren, J Liu, J Wan, F Li, Y Guo, D Yu Renewable energy 123, 756-766, 2018 | 76 | 2018 |
| Methodology for important sensor screening for fault detection and classification in semiconductor manufacturing F Zhu, X Jia, M Miller, X Li, F Li, Y Wang, J Lee IEEE Transactions on Semiconductor Manufacturing 34 (1), 65-73, 2020 | 21 | 2020 |
| Anomaly detection in gas turbine fuel systems using a sequential symbolic method F Li, H Wang, G Zhou, D Yu, J Li, H Gao Energies 10 (5), 724, 2017 | 11 | 2017 |
| Short-term solar flare prediction using multi-model integration method JF Liu, F Li, J Wan, DR Yu Research in Astronomy and Astrophysics 17 (4), 034, 2017 | 10 | 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 | 8 | 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 | 6 | 2021 |
| Frequent pattern extraction based on data and prior knowledge fusion in gas turbine combustion system L Zhu, J Liu, J Liu, W Zhou, D Yu, J Sun, F Li, J Wan 2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-8, 2017 | 6 | 2017 |
| Performance monitoring of steam turbine regenerative system based on extreme learning machine G Zhou, X Li, J Liu, D Yu, F Wang, J Wan, F Li 2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-7, 2017 | 6 | 2017 |
| A symbolic reasoning based anomaly detection for gas turbine subsystems F Li, G Zhou, X Li, L Zhu, H Wang 2017 Prognostics and System Health Management Conference (PHM-Harbin), 1-8, 2017 | 5 | 2017 |
| Short-term solar flare prediction using image-case-based reasoning JF Liu, F Li, HP Zhang, DR Yu Research in Astronomy and Astrophysics 17 (11), 116, 2017 | 4 | 2017 |
| 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 |
| Effect of the sintering temperature on the phase transition behavior and electrical properties of (Ba0.8Sr0.2)TiO3 ceramics Y Cao, S Li, F Li Journal of Materials Science: Materials in Electronics 27, 8710-8716, 2016 | 2 | 2016 |
| Monitoring system for estimating useful life of a machine component M Azamfar, V Pandhare, M Miller, F Li, LI Pin, J Singh, H Davari, J Lee, ... US Patent App. 17/551,648, 2022 | 1 | 2022 |
| Tool condition monitoring system M Azamfar, V Pandhare, M Miller, F Li, LI Pin, J Singh, H Davari, J Lee, ... US Patent App. 17/551,652, 2022 | | 2022 |
| Advances in Internet technology IPv6 Y Fan, J Li, F Li, J Wan 2016 6th International Conference on Advanced Design and Manufacturing …, 2017 | | 2017 |
Jay LeeClark Distingusihed Professor and Director of Industrial AI, University of Maryland College ParkVerified email at umd.edu
