A proposal for the diagnosis of uncertain dynamic systems based on interval models

The performance of a model-based diagnosis system could be affected by several uncertainty sources, such as,model errors,uncertainty in measurements, and disturbances. This uncertainty can be handled by mean of interval models.The aim of this thesis is to propose a methodology for fault detection, i...

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Detalles Bibliográficos
Autor: Gelso, Esteban Reinaldo
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2009
País:España
Institución:CBUC, CESCA
Repositorio:TDR. Tesis Doctorales en Red
OAI Identifier:oai:www.tdx.cat:10803/7750
Acceso en línea:http://www.tdx.cat/TDX-0706109-112938
http://hdl.handle.net/10803/7750
Access Level:acceso abierto
Palabra clave:Robustesa
Robustez
Robustness
Anàlisi estructural
Análisis estructural
Structrural analysis
Incertesa
Incertidumbre
Uncertainty
Models intervalars
Modelos intervalares
Interval model
Diagnosi basada en models
Diagnosis basada en modelos
Model-based diagnosis
Diagnosi de falles
Diagnosis de fallos
Fault diagnosis
004
68
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repository_id_str
dc.title.none.fl_str_mv A proposal for the diagnosis of uncertain dynamic systems based on interval models
title A proposal for the diagnosis of uncertain dynamic systems based on interval models
spellingShingle A proposal for the diagnosis of uncertain dynamic systems based on interval models
Gelso, Esteban Reinaldo
Robustesa
Robustez
Robustness
Anàlisi estructural
Análisis estructural
Structrural analysis
Incertesa
Incertidumbre
Uncertainty
Models intervalars
Modelos intervalares
Interval model
Diagnosi basada en models
Diagnosis basada en modelos
Model-based diagnosis
Diagnosi de falles
Diagnosis de fallos
Fault diagnosis
004
68
title_short A proposal for the diagnosis of uncertain dynamic systems based on interval models
title_full A proposal for the diagnosis of uncertain dynamic systems based on interval models
title_fullStr A proposal for the diagnosis of uncertain dynamic systems based on interval models
title_full_unstemmed A proposal for the diagnosis of uncertain dynamic systems based on interval models
title_sort A proposal for the diagnosis of uncertain dynamic systems based on interval models
dc.creator.none.fl_str_mv Gelso, Esteban Reinaldo
author Gelso, Esteban Reinaldo
author_facet Gelso, Esteban Reinaldo
author_role author
dc.contributor.none.fl_str_mv Armengol Llobet, Joaquim
Universitat de Girona. Departament d'Enginyeria Elèctrica, Electrònica i Automàtica
dc.subject.none.fl_str_mv Robustesa
Robustez
Robustness
Anàlisi estructural
Análisis estructural
Structrural analysis
Incertesa
Incertidumbre
Uncertainty
Models intervalars
Modelos intervalares
Interval model
Diagnosi basada en models
Diagnosis basada en modelos
Model-based diagnosis
Diagnosi de falles
Diagnosis de fallos
Fault diagnosis
004
68
topic Robustesa
Robustez
Robustness
Anàlisi estructural
Análisis estructural
Structrural analysis
Incertesa
Incertidumbre
Uncertainty
Models intervalars
Modelos intervalares
Interval model
Diagnosi basada en models
Diagnosis basada en modelos
Model-based diagnosis
Diagnosi de falles
Diagnosis de fallos
Fault diagnosis
004
68
description The performance of a model-based diagnosis system could be affected by several uncertainty sources, such as,model errors,uncertainty in measurements, and disturbances. This uncertainty can be handled by mean of interval models.The aim of this thesis is to propose a methodology for fault detection, isolation and identification based on interval models. The methodology includes some algorithms to obtain in an automatic way the symbolic expression of the residual generators enhancing the structural isolability of the faults, in order to design the fault detection tests. These algorithms are based on the structural model of the system. The stages of fault detection, isolation, and identification are stated as constraint satisfaction problems in continuous domains and solved by means of interval based consistency techniques. The qualitative fault isolation is enhanced by a reasoning in which the signs of the symptoms are derived from analytical redundancy relations or bond graph models of the system. An initial and empirical analysis regarding the differences between interval-based and statistical-based techniques is presented in this thesis. The performance and efficiency of the contributions are illustrated through several application examples, covering different levels of complexity.
publishDate 2009
dc.date.none.fl_str_mv 2009
2009
2009
2011
dc.type.none.fl_str_mv info:eu-repo/semantics/doctoralThesis
info:eu-repo/semantics/publishedVersion
format doctoralThesis
status_str publishedVersion
dc.identifier.none.fl_str_mv http://www.tdx.cat/TDX-0706109-112938
http://hdl.handle.net/10803/7750
url http://www.tdx.cat/TDX-0706109-112938
http://hdl.handle.net/10803/7750
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universitat de Girona
publisher.none.fl_str_mv Universitat de Girona
dc.source.none.fl_str_mv TDX (Tesis Doctorals en Xarxa)
reponame:TDR. Tesis Doctorales en Red
instname:CBUC, CESCA
instname_str CBUC, CESCA
reponame_str TDR. Tesis Doctorales en Red
collection TDR. Tesis Doctorales en Red
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869425348525948928
spelling A proposal for the diagnosis of uncertain dynamic systems based on interval modelsGelso, Esteban ReinaldoRobustesaRobustezRobustnessAnàlisi estructuralAnálisis estructuralStructrural analysisIncertesaIncertidumbreUncertaintyModels intervalarsModelos intervalaresInterval modelDiagnosi basada en modelsDiagnosis basada en modelosModel-based diagnosisDiagnosi de fallesDiagnosis de fallosFault diagnosis00468The performance of a model-based diagnosis system could be affected by several uncertainty sources, such as,model errors,uncertainty in measurements, and disturbances. This uncertainty can be handled by mean of interval models.The aim of this thesis is to propose a methodology for fault detection, isolation and identification based on interval models. The methodology includes some algorithms to obtain in an automatic way the symbolic expression of the residual generators enhancing the structural isolability of the faults, in order to design the fault detection tests. These algorithms are based on the structural model of the system. The stages of fault detection, isolation, and identification are stated as constraint satisfaction problems in continuous domains and solved by means of interval based consistency techniques. The qualitative fault isolation is enhanced by a reasoning in which the signs of the symptoms are derived from analytical redundancy relations or bond graph models of the system. An initial and empirical analysis regarding the differences between interval-based and statistical-based techniques is presented in this thesis. The performance and efficiency of the contributions are illustrated through several application examples, covering different levels of complexity.EN<br/>Las prestaciones de un sistema de diagnosis basado en modelos se pueden ver afectadas por fuentes de incertidumbre como los errores en el modelo,la incertidumbre en las medidas y las perturbaciones.Esta incertidumbre se puede tratar mediante modelos intervalares.Esta tesis propone una metodología de detección, aislamiento e identificación de fallos basada en modelos intervalares. La metodología incluye algoritmos para obtener de manera automática la expresión simbólica de los generadores de residuos mejorando la aislabilidad estructural de los fallos. Estos algoritmos se basan en el modelo estructural del sistema.Las etapas de detección, aislamiento, e identificación de fallos se representan como problemas de satisfacción de restricciones en dominios continuos y se resuelven por medio de técnicas de consistencia basadas en intervalos.Una mejora en el aislamiento cualitativo de los fallos se obtiene por razonamiento con los signos de los síntomas, que se obtienen de relaciones de redundancia analítica o de modelos bond graph del sistema.Esta tesis también presenta un análisis empírico inicial de las diferencias entre las técnicas basadas en intervalos y las basadas en técnicas estadísticas.Las prestaciones y la eficiencia de las contribuciones de la tesis se ilustran a través de unos cuantos ejemplos de aplicación, que cubren diferentes niveles de complejidad.Universitat de GironaArmengol Llobet, JoaquimUniversitat de Girona. Departament d'Enginyeria Elèctrica, Electrònica i Automàtica2011200920092009info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.tdx.cat/TDX-0706109-112938http://hdl.handle.net/10803/7750TDX (Tesis Doctorals en Xarxa)reponame:TDR. Tesis Doctorales en Redinstname:CBUC, CESCAInglésADVERTIMENT. L'accés als continguts d'aquesta tesi doctoral i la seva utilització ha de respectar els drets de la persona autora. Pot ser utilitzada per a consulta o estudi personal, així com en activitats o materials d'investigació i docència en els termes establerts a l'art. 32 del Text Refós de la Llei de Propietat Intel·lectual (RDL 1/1996). Per altres utilitzacions es requereix l'autorització prèvia i expressa de la persona autora. En qualsevol cas, en la utilització dels seus continguts caldrà indicar de forma clara el nom i cognoms de la persona autora i el títol de la tesi doctoral. No s'autoritza la seva reproducció o altres formes d'explotació efectuades amb finalitats de lucre ni la seva comunicació pública des d'un lloc aliè al servei TDX. Tampoc s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant als continguts de la tesi com als seus resums i índexs.info:eu-repo/semantics/openAccessoai:www.tdx.cat:10803/77502026-06-14T12:46:07Z
score 15,300719

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