Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention
Identifieur interne : 000277 ( Hal/Curation ); précédent : 000276; suivant : 000278Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention
Auteurs : Roland Donat [France]Source :
Descripteurs français
English descriptors
Abstract
Rail networks are prone to degradations of their railtrack that directly impact the commercial service. Therefore, maintenance policies are implemented in order to limit the loss of network quality and avaibility. This thesis proposes a generic modelling for these policies based on the reliability, using Bayesian Network (BN) formalism. The system reliability is captured by dedicated dynamic BN, allowing to take in account the sojorn-time in each system state (semi-markovian assumptiun). The diagnostic tools and the maintenance actions are also represented to accurately describe complex strategies. The consideration of the utility associated to each model ,attribute (availabiblity/security/cost) enables to evaluate innovative predictive maintenance policies. This methodology is applied to the RATP RER network to deal with the rail break prevention problem.
Url:
Links toward previous steps (curation, corpus...)
- to stream Hal, to step Corpus: Pour aller vers cette notice dans l'étape Curation :000277
Links to Exploration step
Hal:tel-00474389Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention</title><title xml:lang="fr">Modélisation de la fiabilité et de la maintenance par modèles graphiques probabilistes : application à la prévention des ruptures de rail</title><author><name sortKey="Donat, Roland" sort="Donat, Roland" uniqKey="Donat R" first="Roland" last="Donat">Roland Donat</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-23832" status="VALID"><orgName>Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes</orgName><orgName type="acronym">LITIS</orgName><desc><address><addrLine>Avenue de l'Université UFR des Sciences et Techniques 76800 Saint-Etienne du Rouvray</addrLine><country key="FR"></country></address><ref type="url">http://www.litislab.eu</ref></desc><listRelation><relation active="#struct-300317" type="direct"></relation><relation name="EA4108" active="#struct-300318" type="direct"></relation><relation active="#struct-301288" type="direct"></relation><relation active="#struct-301232" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-300317" type="direct"><org type="institution" xml:id="struct-300317" status="VALID"><orgName>Université du Havre</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle name="EA4108" active="#struct-300318" type="direct"><org type="institution" xml:id="struct-300318" status="VALID"><orgName>Université de Rouen</orgName><desc><address><addrLine> 1 rue Thomas Becket - 76821 Mont-Saint-Aignan</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rouen.fr/</ref></desc></org></tutelle><tutelle active="#struct-301288" type="direct"><org type="department" xml:id="struct-301288" status="VALID"><orgName>Institut National des Sciences Appliquées - Rouen</orgName><orgName type="acronym">INSA Rouen</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-301232" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Le Havre</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université du Havre</orgName><placeName><settlement type="city">Rouen</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université de Rouen</orgName></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">HAL</idno><idno type="RBID">Hal:tel-00474389</idno><idno type="halId">tel-00474389</idno><idno type="halUri">https://tel.archives-ouvertes.fr/tel-00474389</idno><idno type="url">https://tel.archives-ouvertes.fr/tel-00474389</idno><date when="2009-11-30">2009-11-30</date><idno type="wicri:Area/Hal/Corpus">000277</idno><idno type="wicri:Area/Hal/Curation">000277</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention</title><title xml:lang="fr">Modélisation de la fiabilité et de la maintenance par modèles graphiques probabilistes : application à la prévention des ruptures de rail</title><author><name sortKey="Donat, Roland" sort="Donat, Roland" uniqKey="Donat R" first="Roland" last="Donat">Roland Donat</name><affiliation wicri:level="1"><hal:affiliation type="laboratory" xml:id="struct-23832" status="VALID"><orgName>Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes</orgName><orgName type="acronym">LITIS</orgName><desc><address><addrLine>Avenue de l'Université UFR des Sciences et Techniques 76800 Saint-Etienne du Rouvray</addrLine><country key="FR"></country></address><ref type="url">http://www.litislab.eu</ref></desc><listRelation><relation active="#struct-300317" type="direct"></relation><relation name="EA4108" active="#struct-300318" type="direct"></relation><relation active="#struct-301288" type="direct"></relation><relation active="#struct-301232" type="indirect"></relation></listRelation><tutelles><tutelle active="#struct-300317" type="direct"><org type="institution" xml:id="struct-300317" status="VALID"><orgName>Université du Havre</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle><tutelle name="EA4108" active="#struct-300318" type="direct"><org type="institution" xml:id="struct-300318" status="VALID"><orgName>Université de Rouen</orgName><desc><address><addrLine> 1 rue Thomas Becket - 76821 Mont-Saint-Aignan</addrLine><country key="FR"></country></address><ref type="url">http://www.univ-rouen.fr/</ref></desc></org></tutelle><tutelle active="#struct-301288" type="direct"><org type="department" xml:id="struct-301288" status="VALID"><orgName>Institut National des Sciences Appliquées - Rouen</orgName><orgName type="acronym">INSA Rouen</orgName><desc><address><country key="FR"></country></address></desc><listRelation><relation active="#struct-301232" type="direct"></relation></listRelation></org></tutelle><tutelle active="#struct-301232" type="indirect"><org type="institution" xml:id="struct-301232" status="VALID"><orgName>Institut National des Sciences Appliquées</orgName><orgName type="acronym">INSA</orgName><desc><address><country key="FR"></country></address></desc></org></tutelle></tutelles></hal:affiliation><country>France</country><placeName><settlement type="city">Le Havre</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université du Havre</orgName><placeName><settlement type="city">Rouen</settlement><region type="region" nuts="2">Région Normandie</region><region type="old region" nuts="2">Haute-Normandie</region></placeName><orgName type="university">Université de Rouen</orgName></affiliation></author></analytic></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="mix" xml:lang="en"><term>Bayesian network</term><term>Generic modelling</term><term>Markovian assumption</term></keywords><keywords scheme="mix" xml:lang="fr"><term>Fiabilité</term><term>Inférence</term><term>Maintenance ferroviaire</term><term>Prévisionnelle</term><term>Réseaux bayésiens</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Rail networks are prone to degradations of their railtrack that directly impact the commercial service. Therefore, maintenance policies are implemented in order to limit the loss of network quality and avaibility. This thesis proposes a generic modelling for these policies based on the reliability, using Bayesian Network (BN) formalism. The system reliability is captured by dedicated dynamic BN, allowing to take in account the sojorn-time in each system state (semi-markovian assumptiun). The diagnostic tools and the maintenance actions are also represented to accurately describe complex strategies. The consideration of the utility associated to each model ,attribute (availabiblity/security/cost) enables to evaluate innovative predictive maintenance policies. This methodology is applied to the RATP RER network to deal with the rail break prevention problem.</div></front></TEI><hal api="V3"><titleStmt><title xml:lang="en">Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention</title><title xml:lang="fr">Modélisation de la fiabilité et de la maintenance par modèles graphiques probabilistes : application à la prévention des ruptures de rail</title><author role="aut"><persName><forename type="first">Roland</forename><surname>Donat</surname></persName><email></email><idno type="halauthor">571078</idno><idno type="IdRef">http://www.idref.fr/140103112</idno><affiliation ref="#struct-23832"></affiliation></author><editor role="depositor"><persName><forename>ABES</forename><surname>STAR</surname></persName><email>thelec@abes.fr</email></editor></titleStmt><editionStmt><edition n="v1"><date type="whenSubmitted">2010-04-19 21:59:48</date></edition><edition n="v2" type="current"><date type="whenSubmitted">2011-01-20 11:36:30</date><date type="whenModified">2016-03-02 03:03:43</date><date type="whenReleased">2011-01-21 09:31:43</date><date type="whenProduced">2009-11-30</date><date type="whenEndEmbargoed">2011-01-20</date><ref type="file" target="https://tel.archives-ouvertes.fr/tel-00474389v2/document"><date notBefore="2011-01-20"></date></ref><ref type="file" subtype="author" n="1" target="https://tel.archives-ouvertes.fr/tel-00474389/file/Donat.pdf"><date notBefore="2011-01-20"></date></ref></edition><respStmt><resp>contributor</resp><name key="131274"><persName><forename>ABES</forename><surname>STAR</surname></persName><email>thelec@abes.fr</email></name></respStmt></editionStmt><publicationStmt><distributor>CCSD</distributor><idno type="halId">tel-00474389</idno><idno type="halUri">https://tel.archives-ouvertes.fr/tel-00474389</idno><idno type="halBibtex">donat:tel-00474389</idno><idno type="halRefHtml">Autre [cs.OH]. INSA de Rouen, 2009. Français. <NNT : 2009ISAM0008></idno><idno type="halRef">Autre [cs.OH]. INSA de Rouen, 2009. Français. <NNT : 2009ISAM0008></idno></publicationStmt><seriesStmt><idno type="stamp" n="STAR">STAR - Dépôt national des thèses électroniques</idno><idno type="stamp" n="UNIV-ROUEN">Université de Rouen</idno><idno type="stamp" n="UNIV-LEHAVRE">Université du Havre</idno><idno type="stamp" n="LITIS">Laboratoire d'Informatique, de Traitement de l'Information et des Systèmes</idno><idno type="stamp" n="COMUE-NORMANDIE">Normandie Université</idno></seriesStmt><notesStmt></notesStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention</title><title xml:lang="fr">Modélisation de la fiabilité et de la maintenance par modèles graphiques probabilistes : application à la prévention des ruptures de rail</title><author role="aut"><persName><forename type="first">Roland</forename><surname>Donat</surname></persName><idno type="halAuthorId">571078</idno><idno type="IdRef">http://www.idref.fr/140103112</idno><affiliation ref="#struct-23832"></affiliation></author></analytic><monogr><idno type="nnt">2009ISAM0008</idno><imprint><date type="dateDefended">2009-11-30</date></imprint><authority type="institution">INSA de Rouen</authority><authority type="school">Ecole doctorale Sciences Physiques Mathématiques et de l'Information pour l'ingénieur (Saint-Etienne-du-Rouvray, Seine-Maritime)</authority><authority type="supervisor">Patrice Aknin</authority><authority type="supervisor">Philippe Leray</authority><authority type="jury">Gilles Celeux [Président]</authority><authority type="jury">Alexandre Aussem [Rapporteur]</authority><authority type="jury">Christophe Bérenguer [Rapporteur]</authority><authority type="jury">Sandrine Bondeux</authority><authority type="jury">Laurent Bouillaut</authority></monogr></biblStruct></sourceDesc><profileDesc><langUsage><language ident="fr">French</language></langUsage><textClass><keywords scheme="author"><term xml:lang="en">Bayesian network</term><term xml:lang="en">Markovian assumption</term><term xml:lang="en">Generic modelling</term><term xml:lang="fr">Fiabilité</term><term xml:lang="fr">Inférence</term><term xml:lang="fr">Maintenance ferroviaire</term><term xml:lang="fr">Prévisionnelle</term><term xml:lang="fr">Réseaux bayésiens</term></keywords><classCode scheme="halDomain" n="info.info-oh">Computer Science [cs]/Other [cs.OH]</classCode><classCode scheme="halTypology" n="THESE">Theses</classCode></textClass><abstract xml:lang="en">Rail networks are prone to degradations of their railtrack that directly impact the commercial service. Therefore, maintenance policies are implemented in order to limit the loss of network quality and avaibility. This thesis proposes a generic modelling for these policies based on the reliability, using Bayesian Network (BN) formalism. The system reliability is captured by dedicated dynamic BN, allowing to take in account the sojorn-time in each system state (semi-markovian assumptiun). The diagnostic tools and the maintenance actions are also represented to accurately describe complex strategies. The consideration of the utility associated to each model ,attribute (availabiblity/security/cost) enables to evaluate innovative predictive maintenance policies. This methodology is applied to the RATP RER network to deal with the rail break prevention problem.</abstract><abstract xml:lang="fr">Les réseaux ferroviaires sont sujets à des dégradations de leur voie qui impactent directement le service offert aux voyageurs. Des politiques de maintenance sont donc déployées pour en limiter les effets sur la qualité et la disponibilité du réseau. Ce mémoire propose une modélisation générique de ces politiques reposant sur la fiabilité, et ce à partir du seul formalisme des réseaux bayésiens (RB). La fiabilité du système est caractérisée par un RB dynamique particulier tenant compte des temps de séjour dans chacun de ses états (hypothèse semi-markovienne). Les outils de diagnostics et les actions et les actions de maintenance sont également modélisés, autorisant la description fine de stratégies complexes. La prise en compte de l'utilité de chaque attribut du modèle (disponibilité/sécurité/coût) permet l'évaluation des politiques de maintenance innovantes en particulier prévisionnelles. La méthodologie est appliquée au cas précis du réseau RER de la RATP relativement au problème du rail cassé.</abstract></profileDesc></hal></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/France/explor/LeHavreV1/Data/Hal/Curation
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000277 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Hal/Curation/biblio.hfd -nk 000277 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Wicri/France
|area= LeHavreV1
|flux= Hal
|étape= Curation
|type= RBID
|clé= Hal:tel-00474389
|texte= Reliability and maintenance modelling based on probabilistic graphical models : case study on rail prevention
}}
| This area was generated with Dilib version V0.6.25. |  |