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dc.contributor.author | González Martínez, José María![]() |
es_ES |
dc.contributor.author | Ferrer Riquelme, Alberto José![]() |
es_ES |
dc.contributor.author | Westerhuis, Johan A.![]() |
es_ES |
dc.date.accessioned | 2015-07-13T07:27:49Z | |
dc.date.available | 2015-07-13T07:27:49Z | |
dc.date.issued | 2011-02-15 | |
dc.identifier.issn | 0169-7439 | |
dc.identifier.uri | http://hdl.handle.net/10251/53073 | |
dc.description.abstract | This paper addresses the real-time monitoring of batch processes with multiple different local time trajectories of variables measured during the process run. For Unfold Principal Component Analysis (U-PCA)—or Unfold Partial Least Squares (U-PLS)-based on-line monitoring of batch processes, batch runs need to be synchronized, not only to have the same time length, but also such that key events happen at the same time. An adaptation from Kassidas et al.'s approach [1] will be introduced to achieve the on-line synchronization of batch trajectories using the Dynamic Time Warping (DTW) algorithm. In the proposed adaptation, a new boundaries definition is presented for accurate on-line synchronization of an ongoing batch, together with a way to adapt mapping boundaries to batch length. A relaxed greedy strategy is introduced to avoid assessing the optimal path each time a new sample is available. The key advantages of the proposed strategy are its computational speed and accuracy for the batch process context. Data from realistic simulations of a fermentation process of the Saccharomyces cerevisae cultivation are used to illustrate the performance of the proposed strategy. | es_ES |
dc.description.sponsorship | This research work was supported by the Spanish government under the project (DPI2008-06880-C03-03). We also gratefully acknowledge Jose Camacho PhD. for providing simulated data from a fermentation process of Saccharomyces cerevisae. The authors would also like to acknowledge the valuable suggestions made by Prof. Paul Taylor. | en_EN |
dc.language | Inglés | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation.ispartof | Chemometrics and Intelligent Laboratory Systems | es_ES |
dc.rights | Reserva de todos los derechos | es_ES |
dc.subject | Dynamic Time Warping | es_ES |
dc.subject | On-line synchronization | es_ES |
dc.subject | Batch processes | es_ES |
dc.subject | Multivariate statistical process control | es_ES |
dc.subject.classification | ESTADISTICA E INVESTIGACION OPERATIVA | es_ES |
dc.title | Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.1016/j.chemolab.2011.01.003 | |
dc.relation.projectID | info:eu-repo/grantAgreement/MICINN//DPI2008-06880-C03-03/ES/TECNICAS ESTADISTICAS MULTIVARIANTES PARA EL CONOCIMIENTO, MONITORIZACION Y OPTIMIZACION DE BIOPROCESOS/ | 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.description.bibliographicCitation | González Martínez, JM.; Ferrer Riquelme, AJ.; Westerhuis, JA. (2011). Real-time synchronization of batch trajectories for on-line multivariate statistical process control using Dynamic Time Warping. Chemometrics and Intelligent Laboratory Systems. 105(2):195-206. https://doi.org/10.1016/j.chemolab.2011.01.003 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.chemolab.2011.01.003 | es_ES |
dc.description.upvformatpinicio | 195 | es_ES |
dc.description.upvformatpfin | 206 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 105 | es_ES |
dc.description.issue | 2 | es_ES |
dc.relation.senia | 205014 | |
dc.contributor.funder | Ministerio de Ciencia e Innovación | es_ES |