| A new geometric error modeling approach for multi-axis system based on stream of variation theory H Tang, J Duan, S Lan, H Shui International Journal of Machine Tools and Manufacture 92, 41-51, 2015 | 51 | 2015 |
| Data-driven dynamic bottleneck detection in complex manufacturing systems X Lai, H Shui, D Ding, J Ni Journal of Manufacturing Systems 60, 662-675, 2021 | 36 | 2021 |
| Manufacturing productivity and energy efficiency: a stochastic efficiency frontier analysis H Shui, X Jin, J Ni International Journal of Energy Research 39 (12), 1649-1663, 2015 | 36 | 2015 |
| Twofold variation propagation modeling and analysis for roll-to-roll manufacturing systems H Shui, X Jin, J Ni IEEE Transactions on Automation Science and Engineering 16 (2), 599-612, 2018 | 20 | 2018 |
| Methods and systems for estimating a remaining useful life of an asset D Upadhyay, H Shui, D Filev US Patent App. 17/446,708, 2023 | 19 | 2023 |
| A two-layer long short-Term memory network for bottleneck prediction in multi-job manufacturing systems X Lai, H Shui, J Ni International Manufacturing Science and Engineering Conference 51371 …, 2018 | 17 | 2018 |
| Machine learning approach for constructing wet clutch torque transfer function H Shui, Y Zhang, H Yang, D Upadhyay, Y Fujii SAE International Journal of Advances and Current Practices in Mobility 3 …, 2021 | 11 | 2021 |
| Virtual sensing and virtual metrology for spatial error monitoring of roll-to-roll manufacturing systems X Jin, H Shui, M Shpitalni CIRP Annals 68 (1), 491-494, 2019 | 8 | 2019 |
| An anomaly detection and diagnosis method based on real-time health monitoring for progressive stamping processes H Shui, X Jin, J Ni International Manufacturing Science and Engineering Conference 56833 …, 2015 | 6 | 2015 |
| Predicting future production system bottlenecks with a graph neural network approach X Lai, T Qiu, H Shui, D Ding, J Ni Journal of Manufacturing Systems 67, 201-212, 2023 | 3 | 2023 |
| Optimization of Gaussian process regression model for characterization of in-vehicle wet clutch behavior H Shui, Y Zhang, E Yi, A Bichkar, J McCallum, M Hopka, D Upadhyay, ... SAE Technical Paper, 2022 | 2 | 2022 |
| A nonlinear analytical redundancy method for sensor fault diagnosis in an automotive application H Shui, S Duan, C Sankavaram, J Ni PHM Society Conference 10 (1), 2018 | 2 | 2018 |
| Real-Time Monitoring and Fault Diagnostics in Roll-To-Roll Manufacturing Systems H Shui | 2 | 2018 |
| Method for identifying wet clutch design requirements based on stochastic simulations H Yang, H Shui, Y Zhang, HJ Haria, BD Riedle, Y Fujii US Patent 11,977,818, 2024 | 1 | 2024 |
| Stochastic deep Koopman model for quality propagation analysis in multistage manufacturing systems Z Chen, H Maske, H Shui, D Upadhyay, M Hopka, J Cohen, X Lai, X Huan, ... Journal of Manufacturing Systems 71, 609-619, 2023 | 1 | 2023 |
| Targeted collapse regularized autoencoder for anomaly detection: black hole at the center A Ghafourian, H Shui, D Upadhyay, R Gupta, D Filev, IS Bozchalooi arXiv preprint arXiv:2306.12627, 2023 | 1 | 2023 |
| System for query vehicle data H Shui, Z Wang, D Upadhyay, BM Dawson US Patent App. 17/547,667, 2023 | 1 | 2023 |
| Mixup for robust image classification-application in continuously transitioning industrial sprays H Shui, H Li, D Upadhyay, P Narayanan, AS Admasu First Workshop on Interpolation Regularizers and Beyond at NeurIPS 2022, 2022 | 1 | 2022 |
| Roll-to-Roll Manufacturing System Modeling and Analysis by Stream of Variation Theory H Shui, X Jin, J Ni International Manufacturing Science and Engineering Conference 49903 …, 2016 | 1 | 2016 |
| Systems and methods for monitoring and training a manufacturing system C Zhiyi, H Maske, D Upadhyay, H Shui, MB Hopka, X Huan US Patent App. 18/153,157, 2024 | | 2024 |
Jun NiShien-Ming Wu Collegiate Professor of Manufacturing Science and Professor of Mechanical EngineeringBestätigte E-Mail-Adresse bei umich.edu
