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Huanyi Shui
Huanyi Shui
Bestätigte E-Mail-Adresse bei umich.edu
Titel
Zitiert von
Zitiert von
Jahr
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
512015
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
342015
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
312021
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
192018
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
182018
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
102021
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
82023
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
72019
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
62015
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
22022
Real-Time Monitoring and Fault Diagnostics in Roll-To-Roll Manufacturing Systems
H Shui
22018
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
12023
Methods and systems for anomaly detection of a vehicle
D Upadhyay, H Shui, D Filev
US Patent App. 17/446,707, 2023
12023
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
12022
Vehicle powertrain control system
H Shui, Y Zhang, H Yang, D Upadhyay, HJ Haria, Y Fujii
US Patent App. 17/212,439, 2022
12022
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 App. 17/181,379, 2022
12022
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
12018
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
12016
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
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
2023
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