| 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 |
| Field-synchronized Digital Twin framework for production scheduling with uncertainty E Negri, V Pandhare, L Cattaneo, J Singh, M Macchi, J Lee Journal of Intelligent Manufacturing 32 (4), 1207-1228, 2021 | 104 | 2021 |
| Distributed maintenance planning in manufacturing industries K Upasani, M Bakshi, V Pandhare, BK Lad Computers & Industrial Engineering 108, 1-14, 2017 | 90 | 2017 |
| Convolutional Neural Network Based Rolling-Element Bearing Fault Diagnosis for Naturally Occurring and Progressing Defects Using Time-Frequency Domain Features V Pandhare, J Singh, J Lee 2019 Prognostics and System Health Management Conference (PHM-Paris), 320-326, 2019 | 65 | 2019 |
| Intelligent Diagnostics for Ball Screw Fault Through Indirect Sensing Using Deep Domain Adaptation V Pandhare, X Li, M Miller, X Jia, J Lee IEEE Transactions on Instrumentation and Measurement 70, 1-11, 2020 | 32 | 2020 |
| Industrial AI and predictive analytics for smart manufacturing systems J Lee, J Singh, M Azamfar, V Pandhare Smart Manufacturing, 213-244, 2020 | 27 | 2020 |
| 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 |
| Determination of significant factors affecting the bending strength of weld joint prepared by gas metal arc welding V Pandhare, P Rai, BK Lad, S Das, K Sabiruddin International Journal of Mechanical Engineering Research and Technology 2 (1 …, 2016 | 8 | 2016 |
| Collaborative Prognostics for Machine Fleets Using a Novel Federated Baseline Learner V Pandhare, X Jia, J Lee Annual Conference of the PHM Society 13 (1), 2021 | 5 | 2021 |
| Ball Screw Health Monitoring with Inertial Sensors V Pandhare, M Miller, GW Vogl, J Lee IEEE Transactions on Industrial Informatics, 2022 | 4 | 2022 |
| Memetic algorithm to optimize preventive maintenance schedule for a multi-component machine K UPASANI, M BAKSHI, V PANDHARE, BK LAD International Journal of Performability Engineering 12 (2), 183-195, 2016 | 3 | 2016 |
| Integrating PHM into production scheduling through a Digital Twin-based framework E Negri, L Cattaneo, V Pandhare, M Macchi, J Lee IFAC-PapersOnLine 55 (19), 31-36, 2022 | 2 | 2022 |
| 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 |
| Domain-based Collaborative Learning for Enhanced Health Management of Distributed Industrial Assets V Pandhare University of Cincinnati, 2021 | | 2021 |
| Analyzing data obtained via wind farm supervisory control and data acquisition J Lee, X Jia, V Pandhare, M Miller Utility-Scale Wind Turbines and Wind Farms, 105, 2021 | | 2021 |
| A social network for machines-realizing industry 4.0 V Pandhare Department of Mechanical Engineering, IIT Indore, 2016 | | 2016 |
| Jie Li: Industrial Artificial Intelligence and Industry 4.0 Manufacturing J Lee, H Davari, J Singh, V Pandhare | | |
| A Bayesian Algorithm for Cyber-Physical System Realization for Industry 4.0 N Agrawal, VS Pandhare, BK Lad | | |
Jay LeeClark Distingusihed Professor and Director of Industrial AI, University of Maryland College Parkumd.edu üzerinde doğrulanmış e-posta adresine sahip
