Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process

[EN] A new Process Analytical Technology (PAT) has been developed and tested for on-line process monitoring of a vacuum freeze-drying process. The sensor uses an infrared camera to obtain thermal images of the ongoing process and multivariate image analysis (MIA) to extract the information after aut...

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Detalles Bibliográficos
Autores: Colucci, Domenico, Fissore, Davide, Prats-Montalbán, José Manuel|||0000-0001-6294-4486, Ferrer, Alberto|||0000-0001-7244-5947
Tipo de recurso: capítulo de libro
Fecha de publicación:2018
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/116661
Acceso en línea:https://riunet.upv.es/handle/10251/116661
Access Level:acceso abierto
Palabra clave:Drying
Dehydration
Dewatering
Emerging technologies
Products quality
Process control
Environmental
Evaporation
Sublimation
Diffusion
Energy
Intensification
Freeze-drying
Monitoring
Infrared image
Multivariate image analysis
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oai_identifier_str oai:riunet.upv.es:10251/116661
network_acronym_str ES
network_name_str España
repository_id_str
spelling Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying ProcessColucci, DomenicoFissore, DavidePrats-Montalbán, José Manuel|||0000-0001-6294-4486Ferrer, Alberto|||0000-0001-7244-5947DryingDehydrationDewateringEmerging technologiesProducts qualityProcess controlEnvironmentalEvaporationSublimationDiffusionEnergyIntensificationFreeze-dryingMonitoringInfrared imageMultivariate image analysis[EN] A new Process Analytical Technology (PAT) has been developed and tested for on-line process monitoring of a vacuum freeze-drying process. The sensor uses an infrared camera to obtain thermal images of the ongoing process and multivariate image analysis (MIA) to extract the information after automatic detection and segmentation of the region corresponding to the product in every vial. A reference model was built, using the information of six batches, and different kind of anomalous events, involving either single vials in the batch or the whole batch, were simulated to test the capacity of the MIA-based monitoring system to promptly identify them.Editorial Universitat Politècnica de ValènciaDepartamento de Estadística e Investigación Operativa Aplicadas y CalidadEscuela Técnica Superior de Ingeniería IndustrialGrupo de Ingeniería Estadística Multivariante GIEMRepositorio Institucional de la Universitat Politècnica de València Riunet20182018-09-07book parthttp://purl.org/coar/resource_type/c_3248VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/bookPartapplication/pdfhttps://riunet.upv.es/handle/10251/116661reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) http://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1166612026-06-13T07:49:27Z
dc.title.none.fl_str_mv Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process
title Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process
spellingShingle Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process
Colucci, Domenico
Drying
Dehydration
Dewatering
Emerging technologies
Products quality
Process control
Environmental
Evaporation
Sublimation
Diffusion
Energy
Intensification
Freeze-drying
Monitoring
Infrared image
Multivariate image analysis
title_short Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process
title_full Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process
title_fullStr Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process
title_full_unstemmed Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process
title_sort Application of Multivariate Image Analysis to Thermal Images for in line Monitoring of the Freeze-Drying Process
dc.creator.none.fl_str_mv Colucci, Domenico
Fissore, Davide
Prats-Montalbán, José Manuel|||0000-0001-6294-4486
Ferrer, Alberto|||0000-0001-7244-5947
author Colucci, Domenico
author_facet Colucci, Domenico
Fissore, Davide
Prats-Montalbán, José Manuel|||0000-0001-6294-4486
Ferrer, Alberto|||0000-0001-7244-5947
author_role author
author2 Fissore, Davide
Prats-Montalbán, José Manuel|||0000-0001-6294-4486
Ferrer, Alberto|||0000-0001-7244-5947
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Estadística e Investigación Operativa Aplicadas y Calidad
Escuela Técnica Superior de Ingeniería Industrial
Grupo de Ingeniería Estadística Multivariante GIEM
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Drying
Dehydration
Dewatering
Emerging technologies
Products quality
Process control
Environmental
Evaporation
Sublimation
Diffusion
Energy
Intensification
Freeze-drying
Monitoring
Infrared image
Multivariate image analysis
topic Drying
Dehydration
Dewatering
Emerging technologies
Products quality
Process control
Environmental
Evaporation
Sublimation
Diffusion
Energy
Intensification
Freeze-drying
Monitoring
Infrared image
Multivariate image analysis
description [EN] A new Process Analytical Technology (PAT) has been developed and tested for on-line process monitoring of a vacuum freeze-drying process. The sensor uses an infrared camera to obtain thermal images of the ongoing process and multivariate image analysis (MIA) to extract the information after automatic detection and segmentation of the region corresponding to the product in every vial. A reference model was built, using the information of six batches, and different kind of anomalous events, involving either single vials in the batch or the whole batch, were simulated to test the capacity of the MIA-based monitoring system to promptly identify them.
publishDate 2018
dc.date.none.fl_str_mv 2018
2018-09-07
dc.type.none.fl_str_mv book part
http://purl.org/coar/resource_type/c_3248
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/bookPart
format bookPart
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/116661
url https://riunet.upv.es/handle/10251/116661
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento - No comercial - Sin obra derivada (by-nc-nd)
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editorial Universitat Politècnica de València
publisher.none.fl_str_mv Editorial Universitat Politècnica de València
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869405204851458048
score 15.300719

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