Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales

The most common indicator currently employed in practice to assess boiling water reactor (BWR) instability, due to density wave oscillation (DWO) is the Decay Ratio (DR), an easy to grasp index that is regularly calculated from an estimate of the impulse response function of the reactor core, such i...

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Autor: OMAR ALEJANDRO OLVERA GUERRERO
Tipo de recurso: tesis doctoral
Estado:Versión publicada
Fecha de publicación:2020
País:México
Institución:Universidad Autónoma Metropolitana
Repositorio:Repositorio Institucional de la UAM Iztapalapa
Idioma:inglés
OAI Identifier:oai:bindani.izt.uam.mx:th83kz37g
Acceso en línea:https://doi.org/10.24275/uami.th83kz37g
Access Level:acceso abierto
Palabra clave:info:eu-repo/classification/LEM/Boiling water reactors -- Stability
info:eu-repo/classification/LEM/Reactores de agua en ebullición
info:eu-repo/classification/cti/7
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spelling Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no linealesBoiling water reactor stability analysis based on non-linear techniqueOMAR ALEJANDRO OLVERA GUERREROinfo:eu-repo/classification/LEM/Boiling water reactors -- Stabilityinfo:eu-repo/classification/LEM/Reactores de agua en ebullicióninfo:eu-repo/classification/cti/7The most common indicator currently employed in practice to assess boiling water reactor (BWR) instability, due to density wave oscillation (DWO) is the Decay Ratio (DR), an easy to grasp index that is regularly calculated from an estimate of the impulse response function of the reactor core, such impulse response appraisal is most of the time provided by an autoregressive (AR) modeling of the reactor core. The DR is the output of most stability monitoring systems available in the market. However, it is known that BWRs are intricate systems that may exhibit complex dynamics during instability that cannot be captured by the DR alone. Besides, AR models require linear and stationary signals to grant reliable models. Recorded BWR signals are not linear and are not stationary. Therefore, it is necessary to reignite BWR stability studies to develop more suitable stability methodologies and indicators capable of accommodating the complex nature of unstable BWR signals. To address this issue, the work presented in this thesis is related to the study of non linear signal processing methodologies to assess the stability of a BWR, due to DWO. This thesis is divided in eight chapters. The first one introduces the various BWR instability types that have been observed in practice, it also introduces the DR definition. The second chapter introduces a state of the art of how BWR instability has been studied in the last three decades. The third chapter introduces the Empirical mode decomposition (EMD), a non-linear filter that accommodates non-stationary and non-linear behavior from real world signals. The EMD is the backbone of most of the BWR instability proposals given in this work. In the fourth chapter, a reduced order model (ROM) is studied, such ROM represents qualitatively the chaotic dynamic behavior of a BWR system during instability. The fifth chapter introduces the first non-linear instability indicator: The Shannon Entropy (SE) and its associated tests with BWR recordings is discussed in this chapter. The sixth chapter introduces the second non-linear instability indicator, the Sample Entropy (SampEn) and its experiments are discussed in this chapter too. Chapter seven discusses the third and final (and most powerful) non-linear instability indicator proposal: The Higuchi Fractal Dimension (HFD) and its associated experiments with artificial and real BWR signals are shown and discussed in this chapter. In Chapter eight, we introduce a novel and practical BWR instability monitor with decision rules based on the HFD for real time application. Final conclusions of the work performed in this thesis are given in chapter nine.GILBERTO ESPINOSA PAREDESALFONSO PRIETO GUERRERO2020-01-13info:eu-repo/semantics/doctoralThesisinfo:eu-repo/semantics/publishedVersionhttps://doi.org/10.24275/uami.th83kz37greponame:Repositorio Institucional de la UAM Iztapalapainstname:Universidad Autónoma Metropolitanainstacron:UAMenginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0oai:bindani.izt.uam.mx:th83kz37g2025-11-26T19:20:06Z
dc.title.none.fl_str_mv Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales
Boiling water reactor stability analysis based on non-linear technique
title Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales
spellingShingle Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales
OMAR ALEJANDRO OLVERA GUERRERO
info:eu-repo/classification/LEM/Boiling water reactors -- Stability
info:eu-repo/classification/LEM/Reactores de agua en ebullición
info:eu-repo/classification/cti/7
title_short Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales
title_full Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales
title_fullStr Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales
title_full_unstemmed Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales
title_sort Análisis de estabilidades nucleares de agua en ebullición mediante técnicas no lineales
dc.creator.none.fl_str_mv OMAR ALEJANDRO OLVERA GUERRERO
author OMAR ALEJANDRO OLVERA GUERRERO
author_facet OMAR ALEJANDRO OLVERA GUERRERO
author_role author
dc.contributor.none.fl_str_mv GILBERTO ESPINOSA PAREDES
ALFONSO PRIETO GUERRERO
dc.subject.none.fl_str_mv info:eu-repo/classification/LEM/Boiling water reactors -- Stability
info:eu-repo/classification/LEM/Reactores de agua en ebullición
info:eu-repo/classification/cti/7
topic info:eu-repo/classification/LEM/Boiling water reactors -- Stability
info:eu-repo/classification/LEM/Reactores de agua en ebullición
info:eu-repo/classification/cti/7
description The most common indicator currently employed in practice to assess boiling water reactor (BWR) instability, due to density wave oscillation (DWO) is the Decay Ratio (DR), an easy to grasp index that is regularly calculated from an estimate of the impulse response function of the reactor core, such impulse response appraisal is most of the time provided by an autoregressive (AR) modeling of the reactor core. The DR is the output of most stability monitoring systems available in the market. However, it is known that BWRs are intricate systems that may exhibit complex dynamics during instability that cannot be captured by the DR alone. Besides, AR models require linear and stationary signals to grant reliable models. Recorded BWR signals are not linear and are not stationary. Therefore, it is necessary to reignite BWR stability studies to develop more suitable stability methodologies and indicators capable of accommodating the complex nature of unstable BWR signals. To address this issue, the work presented in this thesis is related to the study of non linear signal processing methodologies to assess the stability of a BWR, due to DWO. This thesis is divided in eight chapters. The first one introduces the various BWR instability types that have been observed in practice, it also introduces the DR definition. The second chapter introduces a state of the art of how BWR instability has been studied in the last three decades. The third chapter introduces the Empirical mode decomposition (EMD), a non-linear filter that accommodates non-stationary and non-linear behavior from real world signals. The EMD is the backbone of most of the BWR instability proposals given in this work. In the fourth chapter, a reduced order model (ROM) is studied, such ROM represents qualitatively the chaotic dynamic behavior of a BWR system during instability. The fifth chapter introduces the first non-linear instability indicator: The Shannon Entropy (SE) and its associated tests with BWR recordings is discussed in this chapter. The sixth chapter introduces the second non-linear instability indicator, the Sample Entropy (SampEn) and its experiments are discussed in this chapter too. Chapter seven discusses the third and final (and most powerful) non-linear instability indicator proposal: The Higuchi Fractal Dimension (HFD) and its associated experiments with artificial and real BWR signals are shown and discussed in this chapter. In Chapter eight, we introduce a novel and practical BWR instability monitor with decision rules based on the HFD for real time application. Final conclusions of the work performed in this thesis are given in chapter nine.
publishDate 2020
dc.date.none.fl_str_mv 2020-01-13
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 https://doi.org/10.24275/uami.th83kz37g
url https://doi.org/10.24275/uami.th83kz37g
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0
dc.source.none.fl_str_mv reponame:Repositorio Institucional de la UAM Iztapalapa
instname:Universidad Autónoma Metropolitana
instacron:UAM
instname_str Universidad Autónoma Metropolitana
instacron_str UAM
institution UAM
reponame_str Repositorio Institucional de la UAM Iztapalapa
collection Repositorio Institucional de la UAM Iztapalapa
repository.name.fl_str_mv
repository.mail.fl_str_mv
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