9 citations · 15 across the 8 of their papers we have counts for
5 papers · 1 filter
ADs: Active Data-sharing for Data Quality Assurance in Advanced Manufacturing Systems
Yue Zhao, Yuxuan Li, Chenang Liu +1
Machine learning (ML) methods are widely used in industrial applications, which usually require a large amount of training data. However, data collection needs extensive time costs…
Pseudo Replay-based Class Continual Learning for Online New Category Anomaly Detection in Advanced Manufacturing
Yuxuan Li, Tianxin Xie, Chenang Liu +1
The incorporation of advanced sensors and machine learning techniques has enabled modern manufacturing enterprises to perform data-driven classification-based anomaly detection bas…
Attention-stacked Generative Adversarial Network (AS-GAN)-empowered Sensor Data Augmentation for Online Monitoring of Manufacturing System
Yuxuan Li, Chenang Liu
Machine learning (ML) has been extensively adopted for the online sensing-based monitoring in advanced manufacturing systems. However, the sensor data collected under abnormal stat…
Knowledge Distillation-based Information Sharing for Online Process Monitoring in Decentralized Manufacturing System
Zhangyue Shi, Yuxuan Li, Chenang Liu
In advanced manufacturing, the incorporation of sensing technology provides an opportunity to achieve efficient in-situ process monitoring using machine learning methods. Meanwhile…
Model-Informed Generative Adversarial Network (MI-GAN) for Learning Optimal Power Flow
Yuxuan Li, Chaoyue Zhao, Chenang Liu
The optimal power flow (OPF) problem, as a critical component of power system operations, becomes increasingly difficult to solve due to the variability, intermittency, and unpredi…