Procter & Gamble Company, Modeling Multi-Stage Manufacturing Processes and Related Problems

Mar 19, 2020
Manufacturing Line

Overall Information

This project uses artificial intelligence and machine learning methods to develop algorithms for anomaly detection and quality prediciton in the manufacturing systems considering the heterogeneous data types in manufacturing systems (e.g., images, signals).

Software Funded Company
Hao Yan
Hao Yan
Assistant Professor in School of Computing, Informatics, and Decision Systems Engineering

My research interests include Data Science for Complex Systems.

Publications

Image-based novel fault detection with deep learning classifiers using hierarchical labels
Novel fault detection in images with hierarchical deep learning labels.
Project
ANTLER: Bayesian nonlinear tensor learning and modeler for unstructured, varying-size point cloud data
Bayesian nonlinear tensor learning for unstructured point cloud data (ANTLER).
Project
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, …
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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 …
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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 …
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Toward a Better Monitoring Statistic for Profile Monitoring via Variational Autoencoders
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, …
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