Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales
En el control estadístico de procesos caracterizados por una relación funcional entre dos variables, el supuesto de independencia entre las observaciones de un mismo perfil o entre perfiles es de uso recurrente en una gran cantidad de aplicaciones. La rápida obtención de información, la inercia de l...
- Autores:
-
Cardenas Pineda, David Humberto
- Tipo de recurso:
- Fecha de publicación:
- 2020
- Institución:
- Universidad Nacional de Colombia
- Repositorio:
- Universidad Nacional de Colombia
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unal.edu.co:unal/80213
- Palabra clave:
- 510 - Matemáticas
Análisis multivariante
Multivariate analysis
Functional time series
Control charts
Nonlinear profiles
Functional data
Cartas de Control
Datos Funcionales
Perfiles no Lineales
Series de Tiempo Funcionales
- Rights
- openAccess
- License
- Reconocimiento 4.0 Internacional
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| dc.title.spa.fl_str_mv |
Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales |
| dc.title.translated.eng.fl_str_mv |
Phase II monitoring of nonlinear profiles with temporal dependece using a functional data analysis approach |
| title |
Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales |
| spellingShingle |
Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales 510 - Matemáticas Análisis multivariante Multivariate analysis Functional time series Control charts Nonlinear profiles Functional data Cartas de Control Datos Funcionales Perfiles no Lineales Series de Tiempo Funcionales |
| title_short |
Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales |
| title_full |
Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales |
| title_fullStr |
Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales |
| title_full_unstemmed |
Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales |
| title_sort |
Monitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionales |
| dc.creator.fl_str_mv |
Cardenas Pineda, David Humberto |
| dc.contributor.advisor.none.fl_str_mv |
Guevara Gonzáles, Ruben Darío Calderón Villanueva, Sergio Alejandro |
| dc.contributor.author.none.fl_str_mv |
Cardenas Pineda, David Humberto |
| dc.subject.ddc.spa.fl_str_mv |
510 - Matemáticas |
| topic |
510 - Matemáticas Análisis multivariante Multivariate analysis Functional time series Control charts Nonlinear profiles Functional data Cartas de Control Datos Funcionales Perfiles no Lineales Series de Tiempo Funcionales |
| dc.subject.lemb.spa.fl_str_mv |
Análisis multivariante |
| dc.subject.lemb.eng.fl_str_mv |
Multivariate analysis |
| dc.subject.proposal.eng.fl_str_mv |
Functional time series Control charts Nonlinear profiles Functional data |
| dc.subject.proposal.spa.fl_str_mv |
Cartas de Control Datos Funcionales Perfiles no Lineales Series de Tiempo Funcionales |
| description |
En el control estadístico de procesos caracterizados por una relación funcional entre dos variables, el supuesto de independencia entre las observaciones de un mismo perfil o entre perfiles es de uso recurrente en una gran cantidad de aplicaciones. La rápida obtención de información, la inercia de los procedimientos, entre otras causas, propician la violación del anterior supuesto, causando que una proporción considerable de los esquemas de control típicos se presenten como inadecuados. En este trabajo se plantea una propuesta de control para el monitoreo de perfiles no lineales en fase II, vistos como realizaciones de procesos temporales estacionarios en espacios funcionales, mediante un enfoque desde el análisis de datos funcionales. A través de un estudio de simulación el desempeño de la propuesta se evalúa. Además, se ilustra su aplicación usando datos industriales para el monitoreo de perfiles de temperatura en hornos industriales. (Texto tomado de la fuente) |
| publishDate |
2020 |
| dc.date.issued.none.fl_str_mv |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2021-09-16T15:01:04Z |
| dc.date.available.none.fl_str_mv |
2021-09-16T15:01:04Z |
| dc.type.spa.fl_str_mv |
Trabajo de grado - Maestría |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/masterThesis |
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info:eu-repo/semantics/acceptedVersion |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/TM |
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acceptedVersion |
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https://repositorio.unal.edu.co/handle/unal/80213 |
| dc.identifier.instname.spa.fl_str_mv |
Universidad Nacional de Colombia |
| dc.identifier.reponame.spa.fl_str_mv |
Repositorio Institucional Universidad Nacional de Colombia |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.unal.edu.co/ |
| url |
https://repositorio.unal.edu.co/handle/unal/80213 https://repositorio.unal.edu.co/ |
| identifier_str_mv |
Universidad Nacional de Colombia Repositorio Institucional Universidad Nacional de Colombia |
| dc.language.iso.spa.fl_str_mv |
spa |
| language |
spa |
| dc.relation.references.spa.fl_str_mv |
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Bogotá - Ciencias - Maestría en Ciencias - Estadística |
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Reconocimiento 4.0 Internacionalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Guevara Gonzáles, Ruben Daríoaa42312186461230e87a1ebb140b3710Calderón Villanueva, Sergio Alejandro4435821363acfcc5a0b97c50464db9d4Cardenas Pineda, David Humberto5b04117d4deaf838a59cfbe2583d48a42021-09-16T15:01:04Z2021-09-16T15:01:04Z2020https://repositorio.unal.edu.co/handle/unal/80213Universidad Nacional de ColombiaRepositorio Institucional Universidad Nacional de Colombiahttps://repositorio.unal.edu.co/En el control estadístico de procesos caracterizados por una relación funcional entre dos variables, el supuesto de independencia entre las observaciones de un mismo perfil o entre perfiles es de uso recurrente en una gran cantidad de aplicaciones. La rápida obtención de información, la inercia de los procedimientos, entre otras causas, propician la violación del anterior supuesto, causando que una proporción considerable de los esquemas de control típicos se presenten como inadecuados. En este trabajo se plantea una propuesta de control para el monitoreo de perfiles no lineales en fase II, vistos como realizaciones de procesos temporales estacionarios en espacios funcionales, mediante un enfoque desde el análisis de datos funcionales. A través de un estudio de simulación el desempeño de la propuesta se evalúa. Además, se ilustra su aplicación usando datos industriales para el monitoreo de perfiles de temperatura en hornos industriales. (Texto tomado de la fuente)In the statistical control of processes characterized by functional relationships between two variables the independence assumption of observations within a profile or between profiles is commonly used in most of applications. Flows of data at higher speeds, procedures inertia, among other causes, leads to a violation of the former assumption, driving a considerable amount of control schemes to be classified as inadequate. In this thesis, a control schema is proposed for phase II monitoring of nonlinear profiles, treated as realizations of stationary functional processes, using a functional data analysis approach. Through simulation studies the proposal performance is accessed, furthermore, its use is explained within an industrial application in profile monitoring of industrial ovens temperature.MaestríaMagíster en Ciencias - Estadísticaxv, 87 páginasapplication/pdfspaUniversidad Nacional de ColombiaBogotá - Ciencias - Maestría en Ciencias - EstadísticaDepartamento de EstadísticaFacultad de CienciasBogotá - ColombiaUniversidad Nacional de Colombia - Sede Bogotá510 - MatemáticasAnálisis multivarianteMultivariate analysisFunctional time seriesControl chartsNonlinear profilesFunctional dataCartas de ControlDatos FuncionalesPerfiles no LinealesSeries de Tiempo FuncionalesMonitoreo de perfiles no lineales con dependencia temporal en fase II desde un enfoque del análisis de datos funcionalesPhase II monitoring of nonlinear profiles with temporal dependece using a functional data analysis approachTrabajo de grado - Maestríainfo:eu-repo/semantics/masterThesisinfo:eu-repo/semantics/acceptedVersionTexthttp://purl.org/redcol/resource_type/TMAlshraideh, H. & Runger, G. 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(1998), “A statistical control chart for stationary process data”, Technometrics 40(1), 24-39.Público generalLICENSElicense.txtlicense.txttext/plain; charset=utf-83964https://repositorio.unal.edu.co/bitstream/unal/80213/1/license.txtcccfe52f796b7c63423298c2d3365fc6MD51ORIGINAL1032470253.2020.pdf1032470253.2020.pdfTesis de Maestría en Ciencias Estadísticaapplication/pdf1250121https://repositorio.unal.edu.co/bitstream/unal/80213/2/1032470253.2020.pdf270cee843a6015e70086d9598768793eMD52THUMBNAIL1032470253.2020.pdf.jpg1032470253.2020.pdf.jpgGenerated Thumbnailimage/jpeg3571https://repositorio.unal.edu.co/bitstream/unal/80213/3/1032470253.2020.pdf.jpg9fc9097c937d493bb87556029223db23MD53unal/80213oai:repositorio.unal.edu.co:unal/802132024-07-29 00:02:52.915Repositorio Institucional Universidad Nacional de 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