LeHavreV1, France, Analysis, bibRecord, 000626

Approches de la fiabilité dynamique pour modéliser des systèmes critiques

Identifieur interne : 000626 ( France/Analysis ); précédent : 000625; suivant : 000627

Approches de la fiabilité dynamique pour modéliser des systèmes critiques

Auteurs : Génia Babykina [France] ; Anne Barros [France] ; Christophe Bérenguer [France] ; Marc Bouissou [France] ; Nicolae Brinzei [France] ; Florent Brissaud [France] ; Perrine Broy ; Gilles Deleuze [France] ; Benoîte De Saporta [France] ; François Dufour [France] ; Yann Dijoux [France] ; Roland Donat [France] ; Phuc Do Van [France] ; Yves Langeron ; Danh Ngoc Nguyen ; Slimane Medjaher ; Huilong Zhang [France]

Source :

RBID : Hal:hal-00653175

Abstract

Le projet consiste à expérimenter et comparer des approches de la fiabilité dynamique. L'enjeu est de modéliser de façon probabiliste la sûreté de fonctionnement des systèmes critiques, en particulier les interactions entre les processus physiques (modélisé par des variables continues) et le contrôle-commande (modélisé par des variables discrètes), en présence de défaillances (stochastiques) ou de contextes rares. Les domaines industriels visés sont la production d'énergie et les industries des procédés. Les partenaires sont l'Université de Technologie de Troyes (UTT-ICD), Nancy-Université-INPL (CRAN), Institut de Mathématiques de Bordeaux-INRIA (CQFD), EDF R&D. Le projet part du constat que les méthodes classiques, binaires ou par états, d'évaluation de la sûreté de fonctionnement (Arbres de Défaillance, Arbres d'Evènements, réseaux de Petri stochastiques) présentent des limites pour les systèmes critiques à caractère hybride.. Face à ces systèmes, qui combinent en général des variables continues de nature déterministe, et des évènements discrets de nature stochastique, les approches statiques et même dynamiques à espace d'états discret, peuvent conduire, passé un certain niveau de complexité ou de réalisme, à des simplifications excessives qui mettent en cause la crédibilité de l'analyse ou peuvent mener à des marges excessives, ou pire, à des parades inappropriées.

Url:

https://hal.archives-ouvertes.fr/hal-00653175

Affiliations:

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Le document en format XML

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<orgName type="university">Université de Rouen</orgName>
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<author><name sortKey="Do Van, Phuc" sort="Do Van, Phuc" uniqKey="Do Van P" first="Phuc" last="Do Van">Phuc Do Van</name>
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<orgName>Institut Charles Delaunay</orgName>
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<author><name sortKey="Langeron, Yves" sort="Langeron, Yves" uniqKey="Langeron Y" first="Yves" last="Langeron">Yves Langeron</name>
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<author><name sortKey="Nguyen, Danh Ngoc" sort="Nguyen, Danh Ngoc" uniqKey="Nguyen D" first="Danh Ngoc" last="Nguyen">Danh Ngoc Nguyen</name>
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<author><name sortKey="Medjaher, Slimane" sort="Medjaher, Slimane" uniqKey="Medjaher S" first="Slimane" last="Medjaher">Slimane Medjaher</name>
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<author><name sortKey="Zhang, Huilong" sort="Zhang, Huilong" uniqKey="Zhang H" first="Huilong" last="Zhang">Huilong Zhang</name>
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<country>France</country>
<placeName><settlement type="city">Bordeaux</settlement>
<region type="region" nuts="2">Aquitaine</region>
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<front><div type="abstract" xml:lang="fr">Le projet consiste à expérimenter et comparer des approches de la fiabilité dynamique. L'enjeu est de modéliser de façon probabiliste la sûreté de fonctionnement des systèmes critiques, en particulier les interactions entre les processus physiques (modélisé par des variables continues) et le contrôle-commande (modélisé par des variables discrètes), en présence de défaillances (stochastiques) ou de contextes rares. Les domaines industriels visés sont la production d'énergie et les industries des procédés. Les partenaires sont l'Université de Technologie de Troyes (UTT-ICD), Nancy-Université-INPL (CRAN), Institut de Mathématiques de Bordeaux-INRIA (CQFD), EDF R&D. Le projet part du constat que les méthodes classiques, binaires ou par états, d'évaluation de la sûreté de fonctionnement (Arbres de Défaillance, Arbres d'Evènements, réseaux de Petri stochastiques) présentent des limites pour les systèmes critiques à caractère hybride.. Face à ces systèmes, qui combinent en général des variables continues de nature déterministe, et des évènements discrets de nature stochastique, les approches statiques et même dynamiques à espace d'états discret, peuvent conduire, passé un certain niveau de complexité ou de réalisme, à des simplifications excessives qui mettent en cause la crédibilité de l'analyse ou peuvent mener à des marges excessives, ou pire, à des parades inappropriées.</div>
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<affiliations><list><country><li>France</li>
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<region><li>Aquitaine</li>
<li>Auvergne-Rhône-Alpes</li>
<li>Franche-Comté</li>
<li>Grand Est</li>
<li>Haute-Normandie</li>
<li>Lorraine (région)</li>
<li>Rhône-Alpes</li>
<li>Région Normandie</li>
</region>
<settlement><li>Besançon</li>
<li>Bordeaux</li>
<li>Grenoble</li>
<li>Le Havre</li>
<li>Nancy</li>
<li>Rouen</li>
</settlement>
<orgName><li>Institut national polytechnique de Lorraine</li>
<li>Université Grenoble-Alpes</li>
<li>Université Joseph Fourier</li>
<li>Université de Bordeaux</li>
<li>Université de Bourgogne Franche-Comté</li>
<li>Université de Franche-Comté</li>
<li>Université de Grenoble</li>
<li>Université de Lorraine</li>
<li>Université de Rouen</li>
<li>Université du Havre</li>
</orgName>
</list>
<tree><noCountry><name sortKey="Broy, Perrine" sort="Broy, Perrine" uniqKey="Broy P" first="Perrine" last="Broy">Perrine Broy</name>
<name sortKey="Langeron, Yves" sort="Langeron, Yves" uniqKey="Langeron Y" first="Yves" last="Langeron">Yves Langeron</name>
<name sortKey="Medjaher, Slimane" sort="Medjaher, Slimane" uniqKey="Medjaher S" first="Slimane" last="Medjaher">Slimane Medjaher</name>
<name sortKey="Nguyen, Danh Ngoc" sort="Nguyen, Danh Ngoc" uniqKey="Nguyen D" first="Danh Ngoc" last="Nguyen">Danh Ngoc Nguyen</name>
</noCountry>
<country name="France"><region name="Grand Est"><name sortKey="Babykina, Genia" sort="Babykina, Genia" uniqKey="Babykina G" first="Génia" last="Babykina">Génia Babykina</name>
</region>
<name sortKey="Barros, Anne" sort="Barros, Anne" uniqKey="Barros A" first="Anne" last="Barros">Anne Barros</name>
<name sortKey="Berenguer, Christophe" sort="Berenguer, Christophe" uniqKey="Berenguer C" first="Christophe" last="Bérenguer">Christophe Bérenguer</name>
<name sortKey="Bouissou, Marc" sort="Bouissou, Marc" uniqKey="Bouissou M" first="Marc" last="Bouissou">Marc Bouissou</name>
<name sortKey="Brinzei, Nicolae" sort="Brinzei, Nicolae" uniqKey="Brinzei N" first="Nicolae" last="Brinzei">Nicolae Brinzei</name>
<name sortKey="Brissaud, Florent" sort="Brissaud, Florent" uniqKey="Brissaud F" first="Florent" last="Brissaud">Florent Brissaud</name>
<name sortKey="De Saporta, Benoite" sort="De Saporta, Benoite" uniqKey="De Saporta B" first="Benoîte" last="De Saporta">Benoîte De Saporta</name>
<name sortKey="Deleuze, Gilles" sort="Deleuze, Gilles" uniqKey="Deleuze G" first="Gilles" last="Deleuze">Gilles Deleuze</name>
<name sortKey="Dijoux, Yann" sort="Dijoux, Yann" uniqKey="Dijoux Y" first="Yann" last="Dijoux">Yann Dijoux</name>
<name sortKey="Do Van, Phuc" sort="Do Van, Phuc" uniqKey="Do Van P" first="Phuc" last="Do Van">Phuc Do Van</name>
<name sortKey="Donat, Roland" sort="Donat, Roland" uniqKey="Donat R" first="Roland" last="Donat">Roland Donat</name>
<name sortKey="Dufour, Francois" sort="Dufour, Francois" uniqKey="Dufour F" first="François" last="Dufour">François Dufour</name>
<name sortKey="Zhang, Huilong" sort="Zhang, Huilong" uniqKey="Zhang H" first="Huilong" last="Zhang">Huilong Zhang</name>
</country>
</tree>
</affiliations>
</record>

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Approches de la fiabilité dynamique pour modéliser des systèmes critiques

Approches de la fiabilité dynamique pour modéliser des systèmes critiques

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