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Multivariate statistical process control charts for batch monitoring of transesterification reactions for biodiesel production based on near-infrared spectroscopy

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Multivariate statistical process control charts for batch monitoring of transesterification reactions for biodiesel production based on near-infrared spectroscopy

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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 MINECO/DPI2014-55276-C5-1-R-AR 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.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 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 317503 es_ES
dc.contributor.funder Ministerio de Economía, Industria y Competitividad (MINECO) es_ES
dc.contributor.funder SHELL GLOBAL SOLUTIONS INTERNATIONAL BV es_ES


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