Data processing intervals through dynamical models applied to the analysis of self-degenerative systems

Autores
Ferreyra, Ricardo Tomás
Año de publicación
2015
Idioma
inglés
Tipo de recurso
documento de conferencia
Estado
versión publicada
Descripción
Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
A dynamical model was applied to analyze the data from an actual complex dynamical system. Data are processed at computed intervals of time, which were obtained from the analytical model. This process was developed to evaluate the methods of resolving some industrial operative problems in the presence of a self-degeneration from the same system. The model presented is suitable for the simulation as well as prediction of the studied system. Two types of models are presented: the first ones associated with the degradation process and the others were obtained after remedying the dynamic of the system along its production time. The process of resetting new intervals for remedying the system was developed in order to extend its lifespan.
http://www.iaria.org/conferences2015/SubmitDATAANALYTICS15.html
Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
Otras Ingenierías y Tecnologías
Materia
Lifespan
Measurement
Attrition
Ingeniería
Tecnología
Nivel de accesibilidad
acceso abierto
Condiciones de uso
Repositorio
Repositorio Digital Universitario (UNC)
Institución
Universidad Nacional de Córdoba
OAI Identificador
oai:rdu.unc.edu.ar:11086/551059
Acceder
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oai_identifier_str oai:rdu.unc.edu.ar:11086/551059
network_acronym_str RDUUNC
repository_id_str 2572
network_name_str Repositorio Digital Universitario (UNC)
spelling Data processing intervals through dynamical models applied to the analysis of self-degenerative systemsFerreyra, Ricardo TomásLifespanMeasurementAttritionIngenieríaTecnologíaFil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.A dynamical model was applied to analyze the data from an actual complex dynamical system. Data are processed at computed intervals of time, which were obtained from the analytical model. This process was developed to evaluate the methods of resolving some industrial operative problems in the presence of a self-degeneration from the same system. The model presented is suitable for the simulation as well as prediction of the studied system. Two types of models are presented: the first ones associated with the degradation process and the others were obtained after remedying the dynamic of the system along its production time. The process of resetting new intervals for remedying the system was developed in order to extend its lifespan.http://www.iaria.org/conferences2015/SubmitDATAANALYTICS15.htmlFil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.Otras Ingenierías y Tecnologías2015info:eu-repo/semantics/conferenceObjectinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_5794info:ar-repo/semantics/documentoDeConferenciaapplication/pdfhttp://hdl.handle.net/11086/551059enginfo:eu-repo/semantics/openAccessreponame:Repositorio Digital Universitario (UNC)instname:Universidad Nacional de Córdobainstacron:UNC2025-09-11T10:23:37Zoai:rdu.unc.edu.ar:11086/551059Institucionalhttps://rdu.unc.edu.ar/Universidad públicaNo correspondehttp://rdu.unc.edu.ar/oai/snrdoca.unc@gmail.comArgentinaNo correspondeNo correspondeNo correspondeopendoar:25722025-09-11 10:23:38.256Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdobafalse
dc.title.none.fl_str_mv Data processing intervals through dynamical models applied to the analysis of self-degenerative systems
title Data processing intervals through dynamical models applied to the analysis of self-degenerative systems
spellingShingle Data processing intervals through dynamical models applied to the analysis of self-degenerative systems
Ferreyra, Ricardo Tomás
Lifespan
Measurement
Attrition
Ingeniería
Tecnología
title_short Data processing intervals through dynamical models applied to the analysis of self-degenerative systems
title_full Data processing intervals through dynamical models applied to the analysis of self-degenerative systems
title_fullStr Data processing intervals through dynamical models applied to the analysis of self-degenerative systems
title_full_unstemmed Data processing intervals through dynamical models applied to the analysis of self-degenerative systems
title_sort Data processing intervals through dynamical models applied to the analysis of self-degenerative systems
dc.creator.none.fl_str_mv Ferreyra, Ricardo Tomás
author Ferreyra, Ricardo Tomás
author_facet Ferreyra, Ricardo Tomás
author_role author
dc.subject.none.fl_str_mv Lifespan
Measurement
Attrition
Ingeniería
Tecnología
topic Lifespan
Measurement
Attrition
Ingeniería
Tecnología
dc.description.none.fl_txt_mv Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
A dynamical model was applied to analyze the data from an actual complex dynamical system. Data are processed at computed intervals of time, which were obtained from the analytical model. This process was developed to evaluate the methods of resolving some industrial operative problems in the presence of a self-degeneration from the same system. The model presented is suitable for the simulation as well as prediction of the studied system. Two types of models are presented: the first ones associated with the degradation process and the others were obtained after remedying the dynamic of the system along its production time. The process of resetting new intervals for remedying the system was developed in order to extend its lifespan.
http://www.iaria.org/conferences2015/SubmitDATAANALYTICS15.html
Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
Otras Ingenierías y Tecnologías
description Fil: Ferreyra, Ricardo Tomás. Universidad Nacional de Córdoba. Facultad de Ciencias Exactas, Físicas y Naturales; Argentina.
publishDate 2015
dc.date.none.fl_str_mv 2015
dc.type.none.fl_str_mv info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_5794
info:ar-repo/semantics/documentoDeConferencia
format conferenceObject
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11086/551059
url http://hdl.handle.net/11086/551059
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositorio Digital Universitario (UNC)
instname:Universidad Nacional de Córdoba
instacron:UNC
reponame_str Repositorio Digital Universitario (UNC)
collection Repositorio Digital Universitario (UNC)
instname_str Universidad Nacional de Córdoba
instacron_str UNC
institution UNC
repository.name.fl_str_mv Repositorio Digital Universitario (UNC) - Universidad Nacional de Córdoba
repository.mail.fl_str_mv oca.unc@gmail.com
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score 12.993085

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