{"id":58063,"date":"2018-03-09T22:45:54","date_gmt":"2018-03-09T22:45:54","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/diagnostico-de-fallos-en-sistemas-industriales-basado-en-razonamiento-borroso-y-posibila%c2%adstico\/"},"modified":"2018-03-09T22:45:54","modified_gmt":"2018-03-09T22:45:54","slug":"diagnostico-de-fallos-en-sistemas-industriales-basado-en-razonamiento-borroso-y-posibila%c2%adstico","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ingenieria-de-control\/diagnostico-de-fallos-en-sistemas-industriales-basado-en-razonamiento-borroso-y-posibila%c2%adstico\/","title":{"rendered":"Diagn\u00f3stico de fallos en sistemas industriales basado en razonamiento borroso y posibil\u00edstico"},"content":{"rendered":"<h2>Tesis doctoral de <strong>  Ram\u00edrez Valenzuela Julio C\u00e9sar <\/strong><\/h2>\n<p>En esta tesis doctoral aborda el diagn\u00f3stico de fallos en sistemas industriales por t\u00e9cnicas de inteligencia artificial, tratando en particular el razonamiento borroso y posibil\u00edstico. inicialmente, se presentan los problemas a resolver en el diagn\u00f3stico de sistemas y despu\u00e9s se plantean estrategias para abordarlos a partir de diferentes t\u00e9cnicas de inteligencia artificial, en donde destacamos los m\u00e9todos relacionales borrosos que ser\u00e1n la base para nuestra aportaci\u00f3n principal. tambi\u00e9n se han estudiado los sistemas expertos basados en l\u00f3gica borrosa y que usan tables de decisi\u00f3n, los sistemas expertos que combinan l\u00f3gica borrosa con probabilidad y los sistemas de diagnostico basados en redes bayesianas. Se experimenta con varias t\u00e9cnicas de diagn\u00f3stico descritas en el estado del arte, haciendo combinaciones entre ellas. una vez experimentadas y evaluadas las anteriores t\u00e9cnicas, vistos los inconvenientes que surg\u00edan, se decidi\u00f3 implementar una nueva metodolog\u00eda que diera una mejor soluci\u00f3n al problema del diagn\u00f3stico. Esta metodolog\u00eda es el diagn\u00f3stico prosibl\u00edstico borroso visto como un problema de optimizaci\u00f3n lineal. la metodolog\u00eda convierte los enunciados ling\u00ed\u00bc\u00edsticos, que componen una base de reglas de un sistema experto borroso, en un conjunto de ecuaciones lineales a trav\u00e9s de t\u00e9cnicas relacionales. Luego, estas ecuaciones se utilizan con algoritmos de programaci\u00f3n lineal. Algunas modificaciones requieren programaci\u00f3n cuadr\u00e1tica.  los resultados obtenidos en esta ultima aportaci\u00f3n en una aplicaci\u00f3n de an\u00e1lisis de aceites fueron satisfactorios, presentando al usuario una salida de diagn\u00f3stico f\u00e1cil de interpretar, suficientemente exacta y teniendo en cuenta la incertidumbre en reglas y medidas.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>Diagn\u00f3stico de fallos en sistemas industriales basado en razonamiento borroso y posibil\u00edstico<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 Diagn\u00f3stico de fallos en sistemas industriales basado en razonamiento borroso y posibil\u00edstico <\/li>\n<li><strong>Autor:<\/strong>\u00a0  Ram\u00edrez Valenzuela Julio C\u00e9sar <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de Valencia<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 20\/04\/2007<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h3>Direcci\u00f3n y tribunal<\/h3>\n<ul>\n<li><strong>Director de la tesis<\/strong>\n<ul>\n<li>Antonio Sala Piqueras<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: pedro Albertos p\u00e9rez <\/li>\n<li> Fuente aparicio Mar\u00eda Jes\u00fas de la (vocal)<\/li>\n<li>joseba-jokin Quevedo casin (vocal)<\/li>\n<li>bernardo Tormos mart\u00ednez (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Ram\u00edrez Valenzuela Julio C\u00e9sar En esta tesis doctoral aborda el diagn\u00f3stico de fallos en sistemas industriales por [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"default","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center 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