A cyber-physical systems architecture for industry 4.0-based manufacturing systems J Lee, B Bagheri, HA Kao Manufacturing letters 3, 18-23, 2015 | 5809 | 2015 |
Service innovation and smart analytics for industry 4.0 and big data environment J Lee, HA Kao, S Yang Procedia cirp 16, 3-8, 2014 | 2624 | 2014 |
Prognostics and health management design for rotary machinery systems—Reviews, methodology and applications J Lee, F Wu, W Zhao, M Ghaffari, L Liao, D Siegel Mechanical systems and signal processing 42 (1-2), 314-334, 2014 | 1701 | 2014 |
Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics H Qiu, J Lee, J Lin, G Yu Journal of sound and vibration 289 (4-5), 1066-1090, 2006 | 1547 | 2006 |
Recent advances and trends in predictive manufacturing systems in big data environment J Lee, E Lapira, B Bagheri, H Kao Manufacturing letters 1 (1), 38-41, 2013 | 1490 | 2013 |
Intelligent prognostics tools and e-maintenance J Lee, J Ni, D Djurdjanovic, H Qiu, H Liao Computers in industry 57 (6), 476-489, 2006 | 855 | 2006 |
A review on prognostics and health monitoring of Li-ion battery J Zhang, J Lee Journal of power sources 196 (15), 6007-6014, 2011 | 842 | 2011 |
Industrial Artificial Intelligence for industry 4.0-based manufacturing systems J Lee, H Davari, J Singh, V Pandhare Manufacturing letters 18, 20-23, 2018 | 797 | 2018 |
Review and recent advances in battery health monitoring and prognostics technologies for electric vehicle (EV) safety and mobility SM Rezvanizaniani, Z Liu, Y Chen, J Lee Journal of power sources 256, 110-124, 2014 | 735 | 2014 |
Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods R Huang, L Xi, X Li, CR Liu, H Qiu, J Lee Mechanical systems and signal processing 21 (1), 193-207, 2007 | 677 | 2007 |
A similarity-based prognostics approach for remaining useful life estimation of engineered systems T Wang, J Yu, D Siegel, J Lee 2008 international conference on prognostics and health management, 1-6, 2008 | 629 | 2008 |
Industrial big data analytics and cyber-physical systems for future maintenance & service innovation J Lee, HD Ardakani, S Yang, B Bagheri Procedia cirp 38, 3-7, 2015 | 574 | 2015 |
Handbook of maintenance management and engineering M Ben-Daya, SO Duffuaa, A Raouf, J Knezevic, D Ait-Kadi Springer London, 2009 | 570 | 2009 |
Robust performance degradation assessment methods for enhanced rolling element bearing prognostics H Qiu, J Lee, J Lin, G Yu Advanced Engineering Informatics 17 (3-4), 127-140, 2003 | 531 | 2003 |
Maintenance: changing role in life cycle management S Takata, F Kirnura, FJAM van Houten, E Westkamper, M Shpitalni, ... CIRP annals 53 (2), 643-655, 2004 | 519 | 2004 |
Smart agents in industrial cyber–physical systems P Leitao, S Karnouskos, L Ribeiro, J Lee, T Strasser, AW Colombo Proceedings of the IEEE 104 (5), 1086-1101, 2016 | 513 | 2016 |
Cyber-physical systems architecture for self-aware machines in industry 4.0 environment B Bagheri, S Yang, HA Kao, J Lee IFAC-PapersOnLine 48 (3), 1622-1627, 2015 | 493 | 2015 |
Watchdog Agent—an infotronics-based prognostics approach for product performance degradation assessment and prediction D Djurdjanovic, J Lee, J Ni Advanced Engineering Informatics 17 (3-4), 109-125, 2003 | 450 | 2003 |
Reliability-centered predictive maintenance scheduling for a continuously monitored system subject to degradation X Zhou, L Xi, J Lee Reliability engineering & system safety 92 (4), 530-534, 2007 | 420 | 2007 |
Industrial artificial intelligence in industry 4.0-systematic review, challenges and outlook RS Peres, X Jia, J Lee, K Sun, AW Colombo, J Barata IEEE access 8, 220121-220139, 2020 | 400 | 2020 |