Spiking autoencoder for nonlinear industrial process fault detection
In recent years, artificial neural networks have been found successful applications in
process monitoring within metallurgy, chemical engineering and mechanical manufacturing …
process monitoring within metallurgy, chemical engineering and mechanical manufacturing …
Root cause identification of industrial alarm floods using word embedding and few-shot learning
W Hu, G Yang, Y Li, W Cao… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Alarm systems are commonly deployed in modern industrial facilities to monitor process
operations. However, due to the presence of nuisance alarms and alarm floods, their …
operations. However, due to the presence of nuisance alarms and alarm floods, their …
A concise subspace projection based meta-learning method for fast modeling and monitoring in multi-grade semiconductor process
J Liu, W Zhu, G Mu, CI Chen, J Chen - Computers & Industrial Engineering, 2024 - Elsevier
Modern semiconductor industries produce multiple grades of wafers to cater to the diversity
of market requirements. Commonly, products with new specifications are manufactured by …
of market requirements. Commonly, products with new specifications are manufactured by …