Autoencoder-based detector for distinguishing process anomaly and sensor failure
CY Lee, K Chang, C Ho - International Journal of Production …, 2024 - Taylor & Francis
Anomaly detection is a frequently discussed topic in manufacturing. However, the issues of
anomaly detection are typically attributed to the manufacturing process or equipment itself …
anomaly detection are typically attributed to the manufacturing process or equipment itself …
DHCEN-DTC: an ensemble learning approach for small-feature recognition in machining process classification
M Wang, H Tang, Y Wang, Y Chen, L Yin - Journal of Intelligent …, 2025 - Springer
The capability to automatically learn from the design and manufacturing data of discrete
manufacturing processes is essential for the development of future data-driven Computer …
manufacturing processes is essential for the development of future data-driven Computer …
Hierarchical Graph Neural Network for Manufacturability Analysis
B Huang, R Huang, X Li, H Zhang, Z Wang… - Available at SSRN … - papers.ssrn.com
Problems such as unreasonable processability or model defects generated in the design
stage will lead to continuous rework during the manufacturing process, which greatly …
stage will lead to continuous rework during the manufacturing process, which greatly …