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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...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
American Chemical Society
2022
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| 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 |