Diseño de un Modelo Predictivo en el Contexto Industria 4.0

The Internet of Things (IoT), the development and installation of advanced sensors for data collection, computer solutions for remote connection and other disruptive technologies are marking a transformation process in the industry; giving rise to what various sectors have called the fourth industri...

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Main Author: Candanedo, Inés Sittón (author)
Other Authors: González, Sarah Rodríguez (author), Muñoz, Lilia (author)
Format: article
Language:English
Published: 2018
Online Access:https://knepublishing.com/index.php/KnE-Engineering/article/view/1458
http://ridda2.utp.ac.pa/handle/123456789/4373
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author Candanedo, Inés Sittón
author2 González, Sarah Rodríguez
Muñoz, Lilia
author2_role author
author
author_browse Candanedo, Inés Sittón
González, Sarah Rodríguez
Muñoz, Lilia
author_facet Candanedo, Inés Sittón
González, Sarah Rodríguez
Muñoz, Lilia
author_role author
collection Repositorio Institucional de documento digitales de acceso abierto de la UTP
dc.contributor.none.fl_str_mv
dc.creator.none.fl_str_mv Candanedo, Inés Sittón
González, Sarah Rodríguez
Muñoz, Lilia
Candanedo, Inés Sittón
González, Sarah Rodríguez
Muñoz, Lilia
dc.date.none.fl_str_mv 2018-02-11
2018-02-23T17:18:31Z
2018-02-23T17:18:31Z
dc.format.none.fl_str_mv application/msword
application/pdf
application/xml
dc.identifier.none.fl_str_mv https://knepublishing.com/index.php/KnE-Engineering/article/view/1458
10.18502/keg.v3i1.1458
http://ridda2.utp.ac.pa/handle/123456789/4373
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv KnE Publishing
dc.relation.none.fl_str_mv https://knepublishing.com/index.php/KnE-Engineering/article/view/1458/3268
https://knepublishing.com/index.php/KnE-Engineering/article/view/1458/3519
https://knepublishing.com/index.php/KnE-Engineering/article/view/1458/3520
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/
dc.source.none.fl_str_mv 2518-6841
KnE Engineering; 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017); 543-551
reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTP
instname:Universidad Tecnológica de Panamá
instacron:U Tecnológica de Panamá
dc.title.none.fl_str_mv Diseño de un Modelo Predictivo en el Contexto Industria 4.0
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
description The Internet of Things (IoT), the development and installation of advanced sensors for data collection, computer solutions for remote connection and other disruptive technologies are marking a transformation process in the industry; giving rise to what various sectors have called the fourth industrial revolution or Industry 4.0. With this process of change, organizations face both new opportunities and challenges. This article focuses on the modeling and integration of industrial data, generated by sensors installed in machines. The extraction of patterns is proposed, using data fusion techniques that allow the design of a predictive maintenance model. Finally, a case study is presented with a database that is applied to the Naive Bayes Algorithm to obtain predictions.Keywords: Industry 4.0, Sensors, Internet of Things, Pattern Extraction, Omnibus Models. 
eu_rights_str_mv openAccess
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identifier_str_mv 10.18502/keg.v3i1.1458
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publishDate 2018
publishDateSort 2018
publisher.none.fl_str_mv KnE Publishing
reponame_str Repositorio Institucional de documento digitales de acceso abierto de la UTP
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spelling Diseño de un Modelo Predictivo en el Contexto Industria 4.0Candanedo, Inés SittónGonzález, Sarah RodríguezMuñoz, LiliaCandanedo, Inés SittónGonzález, Sarah RodríguezMuñoz, LiliaThe Internet of Things (IoT), the development and installation of advanced sensors for data collection, computer solutions for remote connection and other disruptive technologies are marking a transformation process in the industry; giving rise to what various sectors have called the fourth industrial revolution or Industry 4.0. With this process of change, organizations face both new opportunities and challenges. This article focuses on the modeling and integration of industrial data, generated by sensors installed in machines. The extraction of patterns is proposed, using data fusion techniques that allow the design of a predictive maintenance model. Finally, a case study is presented with a database that is applied to the Naive Bayes Algorithm to obtain predictions.Keywords: Industry 4.0, Sensors, Internet of Things, Pattern Extraction, Omnibus Models. KnE Publishing2018-02-112018-02-23T17:18:31Z2018-02-23T17:18:31Zinfo:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/mswordapplication/pdfapplication/xmlhttps://knepublishing.com/index.php/KnE-Engineering/article/view/145810.18502/keg.v3i1.1458http://ridda2.utp.ac.pa/handle/123456789/43732518-6841KnE Engineering; 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017); 543-551reponame:Repositorio Institucional de documento digitales de acceso abierto de la UTPinstname:Universidad Tecnológica de Panamáinstacron:U Tecnológica de Panamáenghttps://knepublishing.com/index.php/KnE-Engineering/article/view/1458/3268https://knepublishing.com/index.php/KnE-Engineering/article/view/1458/3519https://knepublishing.com/index.php/KnE-Engineering/article/view/1458/3520info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by/4.0/oai:ridda2.utp.ac.pa:123456789/43732021-07-06T16:47:39Z
spellingShingle Diseño de un Modelo Predictivo en el Contexto Industria 4.0
Candanedo, Inés Sittón
status_str publishedVersion
title Diseño de un Modelo Predictivo en el Contexto Industria 4.0
title_full Diseño de un Modelo Predictivo en el Contexto Industria 4.0
title_fullStr Diseño de un Modelo Predictivo en el Contexto Industria 4.0
title_full_unstemmed Diseño de un Modelo Predictivo en el Contexto Industria 4.0
title_short Diseño de un Modelo Predictivo en el Contexto Industria 4.0
title_sort Diseño de un Modelo Predictivo en el Contexto Industria 4.0
url https://knepublishing.com/index.php/KnE-Engineering/article/view/1458
http://ridda2.utp.ac.pa/handle/123456789/4373