Dynamic Batch Process Monitoring Based on Time-Slice Latent Variable Correlation Analysis

[Image: see text] Batch processes are generally characterized by complex dynamics and remarkable data collinearity, thereby rendering the monitoring of such processes necessary but challenging. This paper proposes a data-driven time-slice latent variable correlation analysis-based model predictive f...

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Detalles Bibliográficos
Autores principales: Du, Le, Jin, Wenhao, Wang, Yang, Jiang, Qingchao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Chemical Society 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670696/
https://www.ncbi.nlm.nih.gov/pubmed/36406484
http://dx.doi.org/10.1021/acsomega.2c04445

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670696/
https://www.ncbi.nlm.nih.gov/pubmed/36406484
http://dx.doi.org/10.1021/acsomega.2c04445

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