dc.contributor.author |
González Martínez, José María
|
es_ES |
dc.contributor.author |
Vitale, Raffaele
|
es_ES |
dc.contributor.author |
de Noord, Onno E.
|
es_ES |
dc.contributor.author |
Ferrer, Alberto
|
es_ES |
dc.date.accessioned |
2016-03-01T13:29:36Z |
|
dc.date.issued |
2014-03-19 |
|
dc.identifier.issn |
0888-5885 |
|
dc.identifier.uri |
http://hdl.handle.net/10251/61324 |
|
dc.description.abstract |
There is a widespread assumption that batch synchronization is only required if the batch trajectories have different duration. This paper is devoted to demonstrate that synchronization is a critical and necessary preliminary step to bilinear batch process modeling, no matter whether batch trajectories have equal length or not. Another practical assumption is that all batches need the same synchronization method to be aligned. Two different synchronization approaches are compared in terms of synchronization quality: the Multisynchro approach that takes into account the type of asynchronism and the method based on linearly expanding and/or compressing pieces of variables trajectories (the TLEC method), implemented in commercial software. The consequences of inappropriately synchronizing batch data with multiple asynchronisms in process monitoring are investigated. For this study, the observationwise unfolding-T scores batchwise unfolding (OWU-TBWU) approach, which integrates the TLEC method for batch synchronization, is used for process modeling. Data from realistic simulations of a fermentation process of the Saccharomyces cerevisiae cultivation with five different types of asynchronism are used for illustration. |
es_ES |
dc.description.sponsorship |
This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2011-28112-C0t4-02. Part of this research work was carried out during an internship of the corresponding author at Shell Global Solutions International B.V. (Amsterdam, The Netherlands). |
en_EN |
dc.language |
Inglés |
es_ES |
dc.publisher |
American Chemical Society |
es_ES |
dc.relation.ispartof |
Industrial and Engineering Chemistry Research |
es_ES |
dc.rights |
Reserva de todos los derechos |
es_ES |
dc.subject |
PRINCIPAL COMPONENT ANALYSIS |
es_ES |
dc.subject |
QUALITY PREDICTION |
es_ES |
dc.subject |
PERFORMANCE |
es_ES |
dc.subject |
ALIGNMENT |
es_ES |
dc.subject.classification |
ESTADISTICA E INVESTIGACION OPERATIVA |
es_ES |
dc.title |
Effect of synchronization on bilinear batch process modeling |
es_ES |
dc.type |
Artículo |
es_ES |
dc.embargo.lift |
10000-01-01 |
|
dc.embargo.terms |
forever |
es_ES |
dc.identifier.doi |
10.1021/ie402052v |
|
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 |
Cerrado |
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.; Vitale, R.; De Noord, OE.; Ferrer, A. (2014). Effect of synchronization on bilinear batch process modeling. Industrial and Engineering Chemistry Research. 53(11):4339-4351. https://doi.org/10.1021/ie402052v |
es_ES |
dc.description.accrualMethod |
S |
es_ES |
dc.relation.publisherversion |
http://dx.doi.org/10.1021/ie402052v |
es_ES |
dc.description.upvformatpinicio |
4339 |
es_ES |
dc.description.upvformatpfin |
4351 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.description.volume |
53 |
es_ES |
dc.description.issue |
11 |
es_ES |
dc.relation.senia |
260675 |
es_ES |
dc.contributor.funder |
Ministerio de Ciencia e Innovación |
es_ES |