A Multiblock Approach to Fuse Process and Near-Infrared Sensors for On-Line Prediction of Polymer Properties

A Multiblock Approach to Fuse Process and Near-Infrared Sensors for On-Line Prediction of Polymer Properties

Petrochemical companies aim at assessing final product quality in real time, in order to rapidly deal with possible plant faults and to reduce chemical wastes and staff effort resulting from the many laboratory analyses performed every day. In order to answer these needs, the main purpose of the cur...

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Bibliographic Details
Main Authors: Lorenzo Strani, Raffaele Vitale, Daniele Tanzilli, Francesco Bonacini, Andrea Perolo, Erik Mantovani, Angelo Ferrando, Marina Cocchi
Format: Article
Language:English
Published: MDPI AG 2022-02-01
Series:Sensors
Subjects:
Acrylonitrile-Butadiene-Styrene
low-level data fusion
multiblock-partial least squares (MB-PLS)
multivariate statistical process control
polymer production
quality prediction
Online Access:https://www.mdpi.com/1424-8220/22/4/1436

Internet

https://www.mdpi.com/1424-8220/22/4/1436

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