Manufacturing

Optimizing Multiple Condition Policy Based on Real-time Degradation Signals via Model-based Reinforcement Learning
Yunyi Kang, Xinyu Zhao, Hao Yan, Feng Ju
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Deep Multistage Multi-Task Learning for Quality Prediction and Diagnostics of Multistage Manufacturing Systems
In multistage manufacturing systems, modeling multiple quality indices based on the process sensing variables is important. However, …
Hao Yan, Nurretin D. Sergin, William A. Brenneman, Stephen J. Lange, Shan Ba
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Deep Multistage Multi-Task Learning for Quality Prediction and Diagnostics of Multistage Manufacturing Systems
Edge Computing Accelerated Defect Classification Based on Deep Convolutional Neural Network With Application in Rolling Image Inspection
This paper develops a unified framework for training and deploying deep neural networks on the edge computing framework for image …
Jiayu Huang, Nurretin Sergin, Akshay Dua, Erfan Bank Tavakoli, Hao Yan, Fengbo Ren, Feng Ju
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Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders
Variational autoencoders have been recently proposed for the problem of process monitoring. While these works show impressive results …
Nurettin Dorukhan Sergin, Hao Yan
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Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders
AKM2D: An Adaptive Framework for Online Sensing and Anomaly Quantification
In point-based sensing systems such as coordinate measuring machines and laser ultrasonics where complete sensing is impractical due to …
Hao Yan, Kamran Paynabar, Jianjun Shi
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Multiple Tensor-on-Tensor Regression: An Approach for Modeling Processes With Heterogeneous Sources of Data
In recent years, measurement or collection of heterogeneous sets of data such as those containing scalars, waveform signals, images, …
Mostafa Reisi Gahrooei, Hao Yan, Kamran Paynabar, Jianjun Shi
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Performance Evaluation of Production Systems Using Real-Time Machine Degradation Signals
A machine’s degradation status directly influences the operational performance of the production system, such as productivity and …
Yunyi Kang, Hao Yan, Feng Ju
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Image-Based Process Monitoring via Adversarial Autoencoder with Applications to Rolling Defect Detection
Image-based process monitoring has recently attracted increasing attention due to the advancement of the sensing technologies. However, …
Hao Yan, Huai Ming Yeh, Nurettin Sergin
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Structured Point Cloud Data Analysis Via Regularized Tensor Regression for Process Modeling and Optimization
Advanced 3D metrology technologies such as coordinate measuring machine and laser 3D scanners have facilitated the collection of …
Hao Yan, Kamran Paynabar, Massimo Pacella
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Real-Time Production Performance Analysis Using Machine Degradation Signals: A Two-Machine Case
Ahstract- Machine degradation has significant impact on the production system performance. Its variation might lead to large deviation …
Yunyi Kang, Hao Yan, Feng Ju
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