Data fusion strategies to combine sensor and multivariate model outputs for multivariate statistical process control

de Oliveira, RR, Avila, C, Bourne, R orcid.org/0000-0001-7107-6297 et al. (2 more authors) (2020) Data fusion strategies to combine sensor and multivariate model outputs for multivariate statistical process control. Analytical and Bioanalytical Chemistry, 412. pp. 2151-2163. ISSN 1618-2642

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Copyright, Publisher and Additional Information: © Springer-Verlag GmbH Germany, part of Springer Nature 2020. This is an author produced version of a paper published in Analytical and Bioanalytical Chemistry. Uploaded in accordance with the publisher's self-archiving policy.
Keywords: Data fusion; Multivariate statistical process control; Near-infrared; Spectroscopic sensors; Chemometrics
Dates:
  • Published: April 2020
  • Accepted: 10 January 2020
  • Published (online): 21 January 2020
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering (Leeds) > School of Chemical & Process Engineering (Leeds)
Funding Information:
FunderGrant number
EU - European Union637232
Depositing User: Symplectic Publications
Date Deposited: 24 Jan 2020 11:21
Last Modified: 06 Apr 2020 12:13
Status: Published
Publisher: Springer
Identification Number: https://doi.org/10.1007/s00216-020-02404-2

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