{"id":113798,"date":"2013-07-02T00:00:00","date_gmt":"2013-07-02T00:00:00","guid":{"rendered":"https:\/\/www.deberes.net\/tesis\/sin-categoria\/a-bayesian-approach-to-robust-identification-application-to-fault-detection\/"},"modified":"2013-07-02T00:00:00","modified_gmt":"2013-07-02T00:00:00","slug":"a-bayesian-approach-to-robust-identification-application-to-fault-detection","status":"publish","type":"post","link":"https:\/\/www.deberes.net\/tesis\/ingenieria-de-control\/a-bayesian-approach-to-robust-identification-application-to-fault-detection\/","title":{"rendered":"A bayesian approach to robust identification. application to fault detection"},"content":{"rendered":"<h2>Tesis doctoral de <strong> Rosa M. Fernandez Canti <\/strong><\/h2>\n<p>En el campo de la ingenier\u00eda de control, las llamadas t\u00e9cnicas de identificaci\u00f3n robusta tratan con el problema de obtener no s\u00f3lo un modelo nominal de la planta, sino tambi\u00e9n una estimaci\u00f3n de la incertidumbre asociada al modelo nominal. Este modelo de incertidumbre se caracteriza t\u00edpicamente como una regi\u00f3n en el espacio de par\u00e1metros o como una banda de incertidumbre alrededor de la respuesta frecuencial del modelo nominal.  los modelos de incertidumbre se utilizan ampliamente en el dise\u00f1o de controladores robustos y, recientemente, est\u00e1 aumentando su uso en la deteccci\u00f3n de fallos basada en modelos. En este \u00faltimo caso, se va comprobando la consistencia entre las nuevas medidas y la regi\u00f3n de incertidumbre. Cuando se encuentra una inconsistencia, se decide que se ha producido un fallo.  hay dos principales grupos de m\u00e9todos para la modelizaci\u00f3n de la incertidumbre de los modelos: los m\u00e9todos deterministas \/ de peor caso y los m\u00e9todos estoc\u00e1sticos \/ probabil\u00edsticos. En la actualidad, las t\u00e9cnicas m\u00e1s importantes son la modelizaci\u00f3n del error del modelo (model error modeling), la identificaci\u00f3n de la pertenencia a un conjunto de modelos (set-membership identification) y la incrustaci\u00f3n estoc\u00e1stica no estacionaria (non stationary stochastic embedding). En esta tesis se resumen los principales procedimientos y se ilustran sus resultados mediante varios ejemplos de la literatura.  como contribuci\u00f3n se propone una metodolog\u00eda bayesiana para resolver el problema de identificaci\u00f3n robusta. El enfoque es muy unificador ya que varias t\u00e9cnicas de identificaci\u00f3n robusta se pueden interpretar como casos particulares del m\u00e9todo bayesiano. Adem\u00e1s, la metodolog\u00eda puede tratar con estructuras no lineales, como las derivadas de la utilizaci\u00f3n de los observadores. Los modelos bayesianos de incertidumbre obtenidos se utilizan para detectar con \u00e9xito fallos en un proceso de cuatro tanques y en un aerogenerador de tres palas.<\/p>\n<p>&nbsp;<\/p>\n<h3>Datos acad\u00e9micos de la tesis doctoral \u00ab<strong>A bayesian approach to robust identification. application to fault detection<\/strong>\u00ab<\/h3>\n<ul>\n<li><strong>T\u00edtulo de la tesis:<\/strong>\u00a0 A bayesian approach to robust identification. application to fault detection <\/li>\n<li><strong>Autor:<\/strong>\u00a0 Rosa M. Fernandez Canti <\/li>\n<li><strong>Universidad:<\/strong>\u00a0 Polit\u00e9cnica de catalunya<\/li>\n<li><strong>Fecha de lectura de la tesis:<\/strong>\u00a0 07\/02\/2013<\/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>Vicenc Puig Cayuela<\/li>\n<\/ul>\n<\/li>\n<li><strong>Tribunal<\/strong>\n<ul>\n<li>Presidente del tribunal: silvio Simani <\/li>\n<li>eric Duviella (vocal)<\/li>\n<li>  (vocal)<\/li>\n<li>  (vocal)<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Tesis doctoral de Rosa M. Fernandez Canti En el campo de la ingenier\u00eda de control, las llamadas t\u00e9cnicas de identificaci\u00f3n [&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 center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"footnotes":""},"categories":[36191,11013,15596],"tags":[225846,225844,225845,105642],"class_list":["post-113798","post","type-post","status-publish","format-standard","hentry","category-construccion-de-modelos-sociologicos","category-ingenieria-de-control","category-politecnica-de-catalunya","tag-eric-duviella","tag-rosa-m-fernandez-canti","tag-silvio-simani","tag-vicenc-puig-cayuela"],"_links":{"self":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/113798","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/comments?post=113798"}],"version-history":[{"count":0,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/posts\/113798\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/media?parent=113798"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/categories?post=113798"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.deberes.net\/tesis\/wp-json\/wp\/v2\/tags?post=113798"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}