Detección y diagnóstico de fallas mediante técnicas de inteligencia artificial, un estado del arte

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1. Verfasser: Luini Leonardo Hurtado-Cortés
Format: Artículo científico
Sprache:es
Veröffentlicht: Universidad Nacional de Colombia 2016
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author Luini Leonardo Hurtado-Cortés
author_facet Luini Leonardo Hurtado-Cortés
contents Detección y diagnóstico de fallas mediante técnicas de inteligencia artificial, un estado del arte Luini Leonardo Hurtado-Cortés Edwin Villarreal-López Luís Villarreal-López Ingeniería neuro neuro neuro fuzzy logic systems fuzzy logic systems This article presents the current state of artificial intellige nce techniques and their application to the field of fault dete ction and diagnosis, in dynamical systems. Initially, a brief description of what is considered a mechanism for fau lt detection and diagnosis, and current approaches to the study and impl ementation of such mechanisms a re explained. Subsequently, the most important results of the v arious artificial intelligence techniques applied to the fault detecti on and diagnosis are presented. Finally, a comparative analysis based on the desired characteristics of the me chanisms of fault detection an d diagnosis is presented. The article concludes by mentioning t he benefits of the classification of techniques presented and the listing poss ible pathways to where you sho uld go research in this field. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49648868002 https://www.redalyc.org/journal/496/49648868002/ https://www.redalyc.org/journal/496/49648868002/html/ https://www.redalyc.org/journal/496/49648868002/49648868002.epub https://www.redalyc.org/journal/496/49648868002/movil es http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.199 Vol.83
format Artículo científico
id redalyc_49648868002
institution Redalyc
language es
publishDate 2016
publisher Universidad Nacional de Colombia
spellingShingle Detección y diagnóstico de fallas mediante técnicas de inteligencia artificial, un estado del arte
Luini Leonardo Hurtado-Cortés
Ingeniería
neuro
neuro
neuro
fuzzy logic systems
fuzzy logic systems
Detección y diagnóstico de fallas mediante técnicas de inteligencia artificial, un estado del arte Luini Leonardo Hurtado-Cortés Edwin Villarreal-López Luís Villarreal-López Ingeniería neuro neuro neuro fuzzy logic systems fuzzy logic systems This article presents the current state of artificial intellige nce techniques and their application to the field of fault dete ction and diagnosis, in dynamical systems. Initially, a brief description of what is considered a mechanism for fau lt detection and diagnosis, and current approaches to the study and impl ementation of such mechanisms a re explained. Subsequently, the most important results of the v arious artificial intelligence techniques applied to the fault detecti on and diagnosis are presented. Finally, a comparative analysis based on the desired characteristics of the me chanisms of fault detection an d diagnosis is presented. The article concludes by mentioning t he benefits of the classification of techniques presented and the listing poss ible pathways to where you sho uld go research in this field. 2016 artículo científico 0012-7353 https://www.redalyc.org/articulo.oa?id=49648868002 https://www.redalyc.org/journal/496/49648868002/ https://www.redalyc.org/journal/496/49648868002/html/ https://www.redalyc.org/journal/496/49648868002/49648868002.epub https://www.redalyc.org/journal/496/49648868002/movil es http://www.redalyc.org/revista.oa?id=496 Dyna application/pdf Universidad Nacional de Colombia Dyna (Colombia) Num.199 Vol.83
title Detección y diagnóstico de fallas mediante técnicas de inteligencia artificial, un estado del arte
topic Ingeniería
neuro
neuro
neuro
fuzzy logic systems
fuzzy logic systems
url https://www.redalyc.org/articulo.oa?id=49648868002
https://www.redalyc.org/journal/496/49648868002/
https://www.redalyc.org/journal/496/49648868002/html/
https://www.redalyc.org/journal/496/49648868002/49648868002.epub
https://www.redalyc.org/journal/496/49648868002/movil