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dc.contributor.author
Cedeño Viteri, Marco Vinicio
dc.contributor.author
Rodriguez Aguilar, Leandro Pedro Faustino
dc.contributor.author
Alvarez Medina, Carlos Rodrigo
dc.contributor.author
Sanchez, Mabel Cristina
dc.date.available
2018-09-06T18:42:24Z
dc.date.issued
2012-08
dc.identifier.citation
Cedeño Viteri, Marco Vinicio; Rodriguez Aguilar, Leandro Pedro Faustino; Alvarez Medina, Carlos Rodrigo; Sanchez, Mabel Cristina; A new approach to estimate variable contributions to Hotelling's statistic; Elsevier Science; Chemometrics and Intelligent Laboratory Systems; 118; 8-2012; 120-126
dc.identifier.issn
0169-7439
dc.identifier.uri
http://hdl.handle.net/11336/58566
dc.description.abstract
Hotelling's statistic, also called T 2-statistic, is widely used in statistical process control as an extension of the univariate student's chart to reliably detect out of control status in multivariate processes. Although it is a very efficient tool for detection purposes, by itself, it offers no assistance about the origin of the declared faulty status. Several different approaches have been proposed to estimate the variable values' effect on the overall statistic's value. Some of these strategies work in the original measurement space, while others interpret the results coming from the analysis in latent variable spaces using for example Principal Component Analysis or Independent Component Analysis. With the same purpose, we present a novel approach, based on finding the nearest in-control neighbor of the observation point, in this work. The distance between both points is used to determine the contribution of each variable to the out of control state. Those variables whose distance measures exceed a certain threshold value are considered as suspicious. The results of the proposed strategy are compared with those obtained using other strategies that work both the original and latent variable spaces for case studies extracted from the literature.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Elsevier Science
dc.rights
info:eu-repo/semantics/openAccess
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.subject
Contribution Plots
dc.subject
Fault Identification
dc.subject
Process Monitoring
dc.subject
Statistical Process Control
dc.subject
T 2-Statistic
dc.subject.classification
Otras Ingeniería Química
dc.subject.classification
Ingeniería Química
dc.subject.classification
INGENIERÍAS Y TECNOLOGÍAS
dc.title
A new approach to estimate variable contributions to Hotelling's statistic
dc.type
info:eu-repo/semantics/article
dc.type
info:ar-repo/semantics/artículo
dc.type
info:eu-repo/semantics/publishedVersion
dc.date.updated
2018-07-11T13:47:30Z
dc.journal.volume
118
dc.journal.pagination
120-126
dc.journal.pais
Países Bajos
dc.journal.ciudad
Amsterdam
dc.description.fil
Fil: Cedeño Viteri, Marco Vinicio. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Rodriguez Aguilar, Leandro Pedro Faustino. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Alvarez Medina, Carlos Rodrigo. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.description.fil
Fil: Sanchez, Mabel Cristina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Planta Piloto de Ingeniería Química. Universidad Nacional del Sur. Planta Piloto de Ingeniería Química; Argentina
dc.journal.title
Chemometrics and Intelligent Laboratory Systems
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/http://www.sciencedirect.com/science/article/pii/S0169743912001591
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1016/j.chemolab.2012.08.004
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