| Industrial Artificial Intelligence for industry 4.0-based manufacturing systems J Lee, H Davari, J Singh, V Pandhare Manufacturing letters 18, 20-23, 2018 | 770 | 2018 |
| A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems J Lee, M Azamfar, J Singh Manufacturing Letters 20, 34-39, 2019 | 260 | 2019 |
| Multisensor data fusion for gearbox fault diagnosis using 2-D convolutional neural network and motor current signature analysis M Azamfar, J Singh, I Bravo-Imaz, J Lee Mechanical Systems and Signal Processing 144, 106861, 2020 | 238 | 2020 |
| Integration of digital twin and deep learning in cyber-physical systems: towards smart manufacturing J Lee, M Azamfar, J Singh, S Siahpour IET Collaborative Intelligent Manufacturing 2 (1), 34-36, 2020 | 224 | 2020 |
| Industrial Artificial Intelligence J Lee, J Singh, M Azamfar https://arxiv.org/abs/1908.02150, 2019 | 214* | 2019 |
| Bearing damage assessment using Jensen-Rényi Divergence based on EEMD J Singh, AK Darpe, SP Singh Mechanical Systems and Signal Processing 87, 307-339, 2017 | 126 | 2017 |
| 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 |
| Intelligent maintenance systems and predictive manufacturing J Lee, J Ni, J Singh, B Jiang, M Azamfar, J Feng Journal of Manufacturing Science and Engineering 142 (11), 110805, 2020 | 96 | 2020 |
| Performance degradation assessment of a wind turbine gearbox based on multi-sensor data fusion Y Pan, R Hong, J Chen, J Singh, X Jia Mechanism and Machine Theory 137, 509-526, 2019 | 96 | 2019 |
| Rolling element bearing fault diagnosis based on over-complete rational dilation wavelet transform and auto-correlation of analytic energy operator J Singh, AK Darpe, SP Singh Mechanical Systems and Signal Processing 100, 662-693, 2018 | 85 | 2018 |
| Deep learning-based cross-domain adaptation for gearbox fault diagnosis under variable speed conditions J Singh, M Azamfar, A Ainapure, J Lee Measurement Science and Technology 31 (5), 055601, 2020 | 71 | 2020 |
| 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 | 69* | 2020 |
| 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 |
| 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 |
| Additive manufacturing-based design approaches and challenges for orthopaedic bone screws: a state-of-the-art review R Agarwal, V Gupta, J Singh Journal of the Brazilian Society of Mechanical Sciences and Engineering 44 …, 2022 | 42 | 2022 |
| Bearing remaining useful life estimation using an adaptive data-driven model based on health state change point identification and K-means clustering J Singh, AK Darpe, SP Singh Measurement Science and Technology 31 (8), 085601, 2020 | 38 | 2020 |
| Post‐yielding fracture mechanics of 3D printed polymer‐based orthopedic cortical screws R Agarwal, HK Mehtani, J Singh, V Gupta Polymer Composites 43 (10), 6829-6837, 2022 | 31 | 2022 |
| Cross-domain gearbox diagnostics under variable working conditions with deep convolutional transfer learning M Azamfar, J Singh, X Li, J Lee Journal of Vibration and Control 27 (7-8), 854-864, 2021 | 30 | 2021 |
| Mechanical and biological behaviour of additive manufactured biomimetic biodegradable orthopaedic cortical screws R Agarwal, V Gupta, J Singh Rapid Prototyping Journal 28 (9), 1690-1705, 2022 | 27 | 2022 |
| Industrial AI and predictive analytics for smart manufacturing systems J Lee, J Singh, M Azamfar, V Pandhare Smart Manufacturing, 213-244, 2020 | 27 | 2020 |
Jay LeeClark Distingusihed Professor and Director of Industrial AI, University of Maryland College ParkDirección de correo verificada de umd.edu
