Multivariate diagnosis of the variability of NIR spectrometers under industrial applications

Barreiro Elorza, Pilar and Henche, Laura and Ruiz-Altisent, Margarita and Hernández Sánchez, Natalia and Moya Gonzalez, Adolfo (2004). Multivariate diagnosis of the variability of NIR spectrometers under industrial applications. "Spanish Journal of Agricultural Research", v. 2 (n. 4); pp. 485-492. ISSN 1695-971-X.

Description

Title: Multivariate diagnosis of the variability of NIR spectrometers under industrial applications
Author/s:
  • Barreiro Elorza, Pilar
  • Henche, Laura
  • Ruiz-Altisent, Margarita
  • Hernández Sánchez, Natalia
  • Moya Gonzalez, Adolfo
Item Type: Article
Título de Revista/Publicación: Spanish Journal of Agricultural Research
Date: 2004
ISSN: 1695-971-X
Volume: 2
Subjects:
Freetext Keywords: internal quality, PCA, unsupervised analysis, process control.
Faculty: E.T.S.I. Agrónomos (UPM) [antigua denominación]
Department: Ingeniería Rural [hasta 2014]
UPM's Research Group: LPF-TAGRALIA
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

The transfer of NIR spectroscopy to industry relies on the possibility of real time identification of abnormal spectra as well as uncontrolled sources of variation. This study proposes an unsupervised procedure for the identification under an industrial application of daily events (general changes) and abnormal observations. It consists in defining a spectral database at the beginning of a season, performing a principal component (PC) analysis, and calculating the PC scores over time. Process control statistics (Hotelling T2, Q) are used for multivariate supervision of the industrial application. Within this procedure 10,400 average spectra of onion bulbs were evaluated identifying events in 12 out of 66 work dates, as well as spectral trends throughout the season of 2002.

More information

Item ID: 5007
DC Identifier: http://oa.upm.es/5007/
OAI Identifier: oai:oa.upm.es:5007
Official URL: http://www.inia.es/gcontrec/pub/485-492-(2105-Multivariate_1161758997515.pdf
Deposited by: Memoria Investigacion
Deposited on: 17 Nov 2010 12:20
Last Modified: 20 Apr 2016 13:59
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