dc.contributor.author |
Sales Figueiredo, Rafaella
|
es_ES |
dc.contributor.author |
Vitale, Raffaele
|
es_ES |
dc.contributor.author |
Pimentel, Maria Fernanda
|
es_ES |
dc.contributor.author |
de Lima, Suzana Moreira
|
es_ES |
dc.contributor.author |
Stragevitch, Luiz
|
es_ES |
dc.contributor.author |
Ferrer, Alberto
|
es_ES |
dc.date.accessioned |
2018-05-17T04:18:15Z |
|
dc.date.available |
2018-05-17T04:18:15Z |
|
dc.date.issued |
2016 |
es_ES |
dc.identifier.issn |
0098-1354 |
es_ES |
dc.identifier.uri |
http://hdl.handle.net/10251/102085 |
|
dc.description.abstract |
[EN] This work describes an application of Multivariate Statistical Process Control to monitor soybean oil transesterification. For the development of multivariate control charts, near infrared spectra were acquired in-line during the evolution of ten batches under Normal Operating Conditions. They were then organized in a three-way array (batch × spectral variable × time). This structure was analysed by the two most commonly used approaches to develop batch monitoring schemes for handling such kind of data, referred to as Nomikos-MacGregor (NM) and Wold-Kettaneh-Friden-Holmberg (WKFH), respectively. To assess the performance of the approaches, eight test batches, during which specific interferences were induced, were manufactured. When applied for off-line monitoring, both NM and WKFH correctly pointed out such intentionally produced failures. On the other hand, concerning on-line monitoring, NM exhibited a better fault detection capability than WKFH. Contribution plots were found to highlight the spectral region mostly affected by the disturbances regardless of the modelling strategy resorted to. |
es_ES |
dc.description.sponsorship |
The authors would like to thank FACEPE/NUQAAPE, CNPq/INCTAA science funding programs for partial financial support. Research fellowships granted by the Brazilian agencies ANP/Petrobras and CNPq are also gratefully acknowledged. This research work was partially supported by the Spanish Ministry of Economy and Competitiveness under the project DPI2014-55276-C5-1R and Shell Global Solutions International B.V. (Amsterdam, The Netherlands). |
|
dc.language |
Inglés |
es_ES |
dc.publisher |
Elsevier |
es_ES |
dc.relation.ispartof |
Computers & Chemical Engineering |
es_ES |
dc.rights |
Reserva de todos los derechos |
es_ES |
dc.subject |
Biodiesel |
es_ES |
dc.subject |
Batch process monitoring |
es_ES |
dc.subject |
Near infrared spectroscopy (NIRS) |
es_ES |
dc.subject |
Multivariate statistical process control (MSPC) |
es_ES |
dc.subject |
Soybean oil methanolysis |
es_ES |
dc.subject.classification |
ESTADISTICA E INVESTIGACION OPERATIVA |
es_ES |
dc.title |
Multivariate statistical process control charts for batch monitoring of transesterification reactions for biodiesel production based on near-infrared spectroscopy |
es_ES |
dc.type |
Artículo |
es_ES |
dc.identifier.doi |
10.1016/j.compchemeng.2016.08.013 |
es_ES |
dc.relation.projectID |
info:eu-repo/grantAgreement/MINECO//DPI2014-55276-C5-1-R/ES/BIOLOGIA SINTETICA PARA LA MEJORA EN BIOPRODUCCION: DISEÑO, OPTIMIZACION, MONITORIZACION Y CONTROL/ |
es_ES |
dc.rights.accessRights |
Abierto |
es_ES |
dc.date.embargoEndDate |
2018-11-02 |
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 |
Sales Figueiredo, R.; Vitale, R.; Pimentel, MF.; De Lima, SM.; Stragevitch, L.; Ferrer, A. (2016). Multivariate statistical process control charts for batch monitoring of transesterification reactions for biodiesel production based on near-infrared spectroscopy. Computers & Chemical Engineering. 94:343-353. doi:10.1016/j.compchemeng.2016.08.013 |
es_ES |
dc.description.accrualMethod |
S |
es_ES |
dc.relation.publisherversion |
http://dx.doi.org/10.1016/j.compchemeng.2016.08.013 |
es_ES |
dc.description.upvformatpinicio |
343 |
es_ES |
dc.description.upvformatpfin |
353 |
es_ES |
dc.type.version |
info:eu-repo/semantics/publishedVersion |
es_ES |
dc.description.volume |
94 |
es_ES |
dc.relation.pasarela |
S\317503 |
es_ES |
dc.contributor.funder |
Ministerio de Economía, Industria y Competitividad |
es_ES |
dc.contributor.funder |
Shell Global Solutions International B.V. |
es_ES |