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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 |