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Bilinear modeling of batch processes. Part III: Parameter Stability

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Bilinear modeling of batch processes. Part III: Parameter Stability

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dc.contributor.author González Martínez, José María es_ES
dc.contributor.author Camacho Páez, José es_ES
dc.contributor.author Ferrer, Alberto es_ES
dc.date.accessioned 2016-02-11T13:24:13Z
dc.date.available 2016-02-11T13:24:13Z
dc.date.issued 2014-01
dc.identifier.issn 0886-9383
dc.identifier.uri http://hdl.handle.net/10251/60810
dc.description.abstract A paramount aspect in the development of a model for a monitoring system is the so-called parameter stability. This is inversely related to the uncertainty, i.e., the variance in the parameters estimates. Noise affects the performance of the monitoring system, reducing its fault detection capability. Low parameters uncertainty is desired to ensure a reduced amount of noise in the model. Nonetheless, there is no sound study on the parameter stability in batch multivariate statistical process control (BMSPC). The aim of this paper is to investigate the parameter stability associated to the most used synchronization and principal component analysis-based BMSPC methods. The synchronization methods included in this study are the following: indicator variable, dynamic time warping, relaxed greedy time warping, and time linear expanding/compressing-based. In addition, different arrangements of the three-way batch data into two-way matrices are considered, namely single-model, K-models, and hierarchicalmodel approaches. Results are discussed in connection with previous conclusions in the first two papers of the series. es_ES
dc.description.sponsorship This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2011-28112-C04-02. Authors also acknowledge the anonymous reviewers for their comments to improve the article. en_EN
dc.language Inglés es_ES
dc.publisher Wiley es_ES
dc.relation.ispartof Journal of Chemometrics es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Stability es_ES
dc.subject Uncertainty es_ES
dc.subject Multivariate statistical process control es_ES
dc.subject Unfolding es_ES
dc.subject Principal component analysis es_ES
dc.subject Synchronization es_ES
dc.subject.classification ESTADISTICA E INVESTIGACION OPERATIVA es_ES
dc.subject.classification INGENIERIA DE SISTEMAS Y AUTOMATICA es_ES
dc.title Bilinear modeling of batch processes. Part III: Parameter Stability es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1002/cem.2562
dc.relation.projectID info:eu-repo/grantAgreement/MICINN//DPI2011-28112-C04-02/ES/MONITORIZACION, INFERENCIA, OPTIMIZACION Y CONTROL MULTI-ESCALA: DE CELULAS A BIORREACTORES. (MULTISCALES)/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Estadística e Investigación Operativa Aplicadas y Calidad - Departament d'Estadística i Investigació Operativa Aplicades i Qualitat es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería de Sistemas y Automática - Departament d'Enginyeria de Sistemes i Automàtica es_ES
dc.description.bibliographicCitation González Martínez, JM.; Camacho Páez, J.; Ferrer, A. (2014). Bilinear modeling of batch processes. Part III: Parameter Stability. Journal of Chemometrics. 28(1):10-27. https://doi.org/10.1002/cem.2562 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://dx.doi.org/10.1002/cem.2562 es_ES
dc.description.upvformatpinicio 10 es_ES
dc.description.upvformatpfin 27 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 28 es_ES
dc.description.issue 1 es_ES
dc.relation.senia 282481 es_ES
dc.identifier.eissn 1099-128X
dc.contributor.funder Ministerio de Ciencia e Innovación es_ES
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