Soft-sensor for on-line estimation of ethanol concentrations in wine stills
dc.contributor.author | Osorio, Daniel | |
dc.contributor.author | Perez Correa, J. Ricardo | |
dc.contributor.author | Agosin, Eduardo | |
dc.contributor.author | Cabrera, Miguel | |
dc.date.accessioned | 2024-01-10T13:43:36Z | |
dc.date.available | 2024-01-10T13:43:36Z | |
dc.date.issued | 2008 | |
dc.description.abstract | Batch distillation is a traditional and widely-used technique to produce Pisco brandy, a young spirit made from Muscat wine. It is necessary to track a given ethanol composition in the distillate in order to obtain a reproducible spirit with a desired aromatic profile. The use of multiple ethanol sensors represents a considerable cost, which prevents many distilleries from adopting this technology. Aiming to provide practical and affordable industrial-scale distillation control technology, we developed a soft-sensor to estimate distillate ethanol concentration on-line based on four temperature measurements in the still. The soft-sensor, calibrated with laboratory and industrial experimental data, consisted of an Artificial Neural Network and involved simple data pre-processing procedures. Simplicity and good performance were the metrics adopted for testing different algorithms and network structures. Returning mean prediction errors of +/- 0.6% v/v with laboratory scale distillations and +/- 1.6% v/v in industrial trials, the resulting accuracy of the soft-sensor is sufficient to improve standard practice and reproducibility. (c) 2008 Elsevier Ltd. All rights reserved. | |
dc.fechaingreso.objetodigital | 27-03-2024 | |
dc.format.extent | 7 páginas | |
dc.fuente.origen | WOS | |
dc.identifier.doi | 10.1016/j.jfoodeng.2008.01.011 | |
dc.identifier.eissn | 1873-5770 | |
dc.identifier.issn | 0260-8774 | |
dc.identifier.uri | https://doi.org/10.1016/j.jfoodeng.2008.01.011 | |
dc.identifier.uri | https://repositorio.uc.cl/handle/11534/78692 | |
dc.identifier.wosid | WOS:000255423700015 | |
dc.information.autoruc | Ingeniería;Agosin E;S/I;99630 | |
dc.information.autoruc | Ingeniería;Osorio D;S/I;7709 | |
dc.information.autoruc | Ingeniería;Pérez-Correa J;S/I;100130 | |
dc.issue.numero | 4 | |
dc.language.iso | en | |
dc.nota.acceso | contenido parcial | |
dc.pagina.final | 577 | |
dc.pagina.inicio | 571 | |
dc.publisher | ELSEVIER SCI LTD | |
dc.revista | JOURNAL OF FOOD ENGINEERING | |
dc.rights | acceso restringido | |
dc.subject | automation | |
dc.subject | ethanol estimation | |
dc.subject | neural networks | |
dc.subject | wine distillation | |
dc.subject | unsupervised learning | |
dc.subject | ARTIFICIAL NEURAL-NETWORKS | |
dc.subject | DISTILLATION-COLUMNS | |
dc.subject | BATCH DISTILLATION | |
dc.subject | DISCRIMINATION | |
dc.subject | SPECTROSCOPY | |
dc.subject | VARIETIES | |
dc.subject | DESIGN | |
dc.subject.ods | 06 Clean Water and Sanitation | |
dc.subject.odspa | 06 Agua limpia y saneamiento | |
dc.title | Soft-sensor for on-line estimation of ethanol concentrations in wine stills | |
dc.type | artículo | |
dc.volumen | 87 | |
sipa.codpersvinculados | 99630 | |
sipa.codpersvinculados | 7709 | |
sipa.codpersvinculados | 100130 | |
sipa.index | WOS | |
sipa.index | Scopus | |
sipa.trazabilidad | Carga SIPA;09-01-2024 |
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