Coupling of PLS method and mechanistic model for monitoring and controlling the industrial production of fluorinated polymers

Autor:	M. Morbidelli, M. Apostolo, V. Arcella, S. Arrigoni, G. Storti
Rok vydání:	2002
Předmět:	Chemical technology Engineering business.industry Industrial production Principal component analysis Process control Fluorinated Polymers Statistical model Multivariate statistical Biological system business Process engineering Merge (version control)
Zdroj:	Proceedings of the 2002 American Control Conference (IEEE Cat. No.CH37301).
DOI:	10.1109/acc.2002.1024535
Popis:	The performance of a process can be monitored by comparing the experimental results to the predictions from a mechanistic model or by using multivariate statistical projection methods such as principal component analysis (PCA) and projection to latent structures (PLS). Both approaches have advantages and drawbacks. In order to overcome such drawbacks, in this work an attempt to merge mechanistic and statistical models has been made.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c18b8b579d3e52790b44393251c14f8c https://doi.org/10.1109/acc.2002.1024535 Zobrazit plný text záznamu