Batch Process Monitoring with Attention-Based Two-Dimensional Stacked Graph Convolutional Autoencoder

In batch processes, the efficacy of statistical control is reportedly sensitive to the dynamics and nonlinearity found in the batch data, which can hamper the valid feature extraction for statistical analysis. Normally, a two-way window is applied to aggregate the samples across the batch and time d...

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Vydáno v:	2024 6th International Conference on Industrial Artificial Intelligence (IAI) s. 1 - 6
Hlavní autoři:	Gao, Xingke, Zhang, Zheng, Gao, Furong, Zhu, Jinlin
Médium:	Konferenční příspěvek
Jazyk:	angličtina
Vydáno:	IEEE 21.08.2024
Témata:	Batch process monitoring Batch production systems Convolution Fault detection and diagnosis Feature extraction Graph auto-encoder Monitoring Phase measurement Process control Redundancy Size measurement Statistical analysis Training Two-dimensional modeling
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