A batch-wise LSTM-encoder decoder network for batch process monitoring

•Proposed a multi-layer recurrent neural network in the encoder–decoder structure and the corresponding monitoring method for batch process monitoring.•The proposed network can simultaneously capture the between and within batch dynamic features in the nonlinear batch process.•The proposed model out...

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Veröffentlicht in:	Chemical engineering research & design Jg. 164; S. 102 - 112
Hauptverfasser:	Ren, Jiayang, Ni, Dong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Rugby Elsevier B.V 01.12.2020 Elsevier Science Ltd
Schlagworte:	Coders Control limits Density Encoder–decoder structure Feature extraction Fermentation Kernel density estimation Monitoring Monitoring systems Multi-layer LSTM Multilayers Nonlinear batch processes Nonlinear dynamics Nonlinear systems Nonlinearity Occupational safety Penicillin Process monitoring Recurrent neural networks Statistical methods Process monitoring Nonlinear batch processes Kernel density estimation Encoder–decoder structure Multi-layer LSTM
ISSN:	0263-8762, 1744-3563
Online-Zugang:	Volltext
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