| Industrial Artificial Intelligence for industry 4.0-based manufacturing systems J Lee, H Davari, J Singh, V Pandhare Manufacturing letters 18, 20-23, 2018 | 765 | 2018 |
| 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 | 564 | 2015 |
| Wind turbine performance assessment using multi-regime modeling approach E Lapira, D Brisset, HD Ardakani, D Siegel, J Lee Renewable Energy 45, 86-95, 2012 | 170 | 2012 |
| Prognosability study of ball screw degradation using systematic methodology P Li, X Jia, J Feng, H Davari, G Qiao, Y Hwang, J Lee Mechanical Systems and Signal Processing 109, 45-57, 2018 | 94 | 2018 |
| A digital twin-based scheduling framework including equipment health index and genetic algorithms E Negri, HD Ardakani, L Cattaneo, J Singh, M Macchi, J Lee IFAC-PapersOnLine 52 (10), 43-48, 2019 | 69 | 2019 |
| Motor current signature analysis for gearbox condition monitoring under transient speeds using wavelet analysis and dual-level time synchronous averaging I Bravo-Imaz, HD Ardakani, Z Liu, A García-Arribas, A Arnaiz, J Lee Mechanical Systems and Signal Processing 94, 73-84, 2017 | 69 | 2017 |
| Introduction to data-driven methodologies for prognostics and health management J Lee, C Jin, Z Liu, H Davari Ardakani Probabilistic prognostics and health management of energy systems, 9-32, 2017 | 67 | 2017 |
| PHM for railway system—A case study on the health assessment of the point machines HD Ardakani, C Lucas, D Siegel, S Chang, P Dersin, B Bonnet, J Lee 2012 IEEE Conference on Prognostics and Health Management, 1-5, 2012 | 47 | 2012 |
| A comprehensive framework of factory-to-factory dynamic fleet-level prognostics and operation management for geographically distributed assets C Jin, D Djurdjanovic, HD Ardakani, K Wang, M Buzza, B Begheri, ... 2015 ieee international conference on automation science and engineering …, 2015 | 34 | 2015 |
| Fault prediction of power electronics modules and systems under complex working conditions Y Di, C Jin, B Bagheri, Z Shi, HD Ardakani, Z Tang, J Lee Computers in Industry 97, 1-9, 2018 | 30 | 2018 |
| Industrial artificial intelligence for industry 4.0-based manufacturing systems. Manuf Lett 18: 20–23 J Lee, H Davari, J Singh, V Pandhare | 18 | 2018 |
| Industrial Artificial Intelligence for industry 4.0-based manufacturing systems. Manufacturing Letters, 18, 20–23 J Lee, H Davari, J Singh, V Pandhare | 18 | 2018 |
| Intelligent Factory Agents with Predictive Analytics for Asset Management J Lee, HA Kao, H Davari Ardakani, D Siegel Industrial Agents Emerging Applications of Software Agents in Industry, 341–360, 2015 | 17 | 2015 |
| Motor current signature analysis for gearbox fault diagnosis in transient speed regimes HD Ardakani, Z Liu, J Lee, I Bravo-Imaz, A Arnaiz 2015 IEEE Conference on Prognostics and Health Management (PHM), 1-6, 2015 | 16 | 2015 |
| Detection and diagnosis of bottle capping failures based on motor current signature analysis M Azamfar, X Jia, V Pandhare, J Singh, H Davari, J Lee Procedia Manufacturing 34, 840-846, 2019 | 14 | 2019 |
| Envelope analysis on vibration signals for stator winding fault early detection in 3-phase induction motors C Jin, AP Ompusunggu, Z Liu, HD Ardakani, F Petré, J Lee International Journal of Prognostics and Health Management 6 (1), 2015 | 13 | 2015 |
| Industrial artificial intelligence for industry 4.0-based manufacturing systems. Manuf. Lett. 18, 20–23 (2018) J Lee, H Davari, J Singh, V Pandhare | 13 | |
| Performance monitoring of soccer players using physiological signals and predictive analytics S Ravindranathan, HD Ardakani, A Pimental, J Lee, N Care, JF Clark NSF I/UCRC for Intelligent Maintenance Systems (IMS), 1-11, 2017 | 10 | 2017 |
| A vibration-based approach for stator winding fault diagnosis of induction motors: application of envelope analysis C Jin, AP Ompusunggu, Z Liu, HD Ardakani, F Petré, J Lee Annual Conference of the PHM Society 6 (1), 2014 | 8 | 2014 |
| A minimal-sensing framework for monitoring multistage manufacturing processes using product quality measurements H Davari Ardakani, J Lee Machines 6 (1), 1, 2018 | 7 | 2018 |
Jay LeeClark Distingusihed Professor and Director of Industrial AI, University of Maryland College ParkDirección de correo verificada de umd.edu
