The APPRODYN Project: Dynamic Reliability Approaches to Modeling Critical Systems

Aubry, Jean‐François; Babykina, Génia; Brînzei, Nicolae; Medjaher, Slimane; Barros, Anne; Bérenguer, Christophe; Grall, Antoine; Langeron, Yves; Nguyen, Danh Ngoc; Deleuze, Gilles; Saporta, Benoı̂te de; Dufour, François

doi:10.1002/9781118561744.ch8

Cited by 5 publications

(4 citation statements)

References 10 publications

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“…[9] [2], l'interaction est la relation entre constituants qui se traduit le plus souvent dans les systèmes complexes par un rapport d'influence ou d'échange portant aussi bien sur des flux de matière, d'énergie et/ou d'information. En mécanique, l'interaction se réduit alors à un jeu de forces.…”

Section: La Prise En Compte Des Interactions Lors D'évaluation De La unclassified

Prise en compte des interactions multi-domaines lors de l’évaluation de la fiabilité prévisionnelle des systèmes mécatroniques

SaidAmrani¹,

Saintis²,

Barreau³

2016

Congrès Lambda Mu 20 De Maîtrise Des Risques Et De Sûreté De Fonctionnement

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Prise en compte des interactions multi-domaines lors de l'évaluation de la fiabilité prévisionnelle des systèmes mécatroniques Multi-domains interactions in predictive reliability assessment of mechatronic systems Résumé :Les systèmes mécatroniques sont à la fois hybrides, dynamiques, interactifs et reconfigurables, ce qui entraîne des difficultés dans la modélisation dysfonctionnelle. Les potentielles interactions multi-physiques entre les composants peuvent avoir des impacts sur les dégradations ou sur les dysfonctionnements du système. Tous ces éléments à prendre en compte rendent incertain le modèle d'évaluation de la fiabilité. Le travail de recherche présenté dans cet article a pour but d'améliorer la prise en compte des interactions multi-domaines dans l'évaluation de la fiabilité des systèmes mécatroniques. A partir d'un état de l'art des méthodes d'évaluation de la fiabilité des systèmes mécatroniques, nous proposons des améliorations permettant une prise en compte quantitative des interactions par l'intégration de facteurs d'influence représentant des interactions multi domaines. Cette intégration est effectuée de manière générale à partir d'un modèle à hasards proportionnels et, dans le cas d'une interaction avec pour facteur de stress la température, en utilisant la loi d'Arrhenius. SummaryThe mechatronic systems are hybrid, dynamic, interactive and reconfigurable. Therefore their dysfunctional modeling is very difficult. Multiphysical interactions between components have impacts on the degradation or on system failures, leading thus to more uncertainty in reliability evaluation. The work presented in this paper aims to improve the integration of multi-domain interactions in the reliability assessment of mechatronic systems. After a presentation of the state of the art of mechatronic systems reliability estimation methods, we propose to represent multi domain interactions by influential factors in the dysfunctional model. We generally use proportional hazard models; in the case of an interaction represented by a temperature stress, Arrhenius model is used. Mots Clés :

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Section: La Prise En Compte Des Interactions Lors D'évaluation De La unclassified

Prise en compte des interactions multi-domaines lors de l’évaluation de la fiabilité prévisionnelle des systèmes mécatroniques

SaidAmrani¹,

Saintis²,

Barreau³

2016

Congrès Lambda Mu 20 De Maîtrise Des Risques Et De Sûreté De Fonctionnement

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“…This example is an extract from a real and more complex case study, developed by EDF (Electricité de France) for the Approdyn project (Aubry et al 2012). The modelled system is a controlled system composed by one physical subsystem and one control subsystem.…”

Section: Case Studymentioning

confidence: 99%

Deterministic and stochastic dependability analysis of industrial systems using Coloured Petri Nets approach

Pinna¹,

Babykina²,

Brînzei³

et al. 2013

Safety, Reliability and Risk Analysis

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Industrial systems dependability analysis is a two-fold complex task. From one hand, it consists in quantitative reliability, maintainability and availability assessment and involves stochastic modelling of system behaviour. From the other hand, it requires deterministic modelling to capture the control system behaviour and to verify its safety properties. Generally two different models of system behaviour are used to achieve these two tasks, requiring different mathematical models: probabilistic and timed models for stochastic analysis and deterministic non-timed models for qualitative analysis. The purpose of this work is to use one mathematical model for both dependability tasks. The Coloured Petri Nets tool (CPN), which is a high level Petri Net, is used in this paper. The model allows the stochastic simulation of system behaviour and dependability assessment by means of Monte Carlo simulations. The safety analysis is performed by means of state space analysis and model checking techniques. Main addressed issues are related to abstraction and model transformation in order to adapt the CPN model to the stochastic or deterministic context of the dependability analysis. The described approach is tested on a case study, which is a part of a nuclear power plant sub-system developed by EDF company (Electricité de France). The considered system is characterised by components redundancy, different distribution laws (not only exponential) of failure and reparation times and control laws aiming to switch between configurations according to functional or dysfunctional purposes. Proposed approach appears to be efficient for evaluation of stochastic dependability indicators (availability, MTTF, MTTR, etc.) as well as for safety analysis (reachability of critical states, dead-locks, proof of control behavioural properties, etc.) of a concurrent controlled redundant system.

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“…To illustrate the proposed approach, a toy example is extracted from a more real case study proposed by EDF for Approdyn project (Aubry et al, 2012). This example is composed by two parallel feed-water turbo-pumps (TPA).…”

Section: Case Studymentioning

confidence: 99%

Using Coloured Petri Nets for integrated reliability and safety evaluations

Pinna

Babykina

Brînzei

et al. 2013

IFAC Proceedings Volumes

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Integrated Deterministic and Probabilistic Dependability Analysis (IDPDA) is respectively required for safety properties verification and reliability & availability assessment of critical systems. This paper presents an approach towards IDPDA using Coloured Petri Nets (CPN). Contributions are related to: (a) hierarchical modelling guidelines that cover deterministic and probabilistic features of a physical system under control, (b) coupling Monte-Carlo simulation with CPN model checking that requires a previous determinisation of the CPN stochastic model. Our approach is illustrated using a toy case study.

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The APPRODYN Project: Dynamic Reliability Approaches to Modeling Critical Systems

Cited by 5 publications

References 10 publications

Prise en compte des interactions multi-domaines lors de l’évaluation de la fiabilité prévisionnelle des systèmes mécatroniques

Prise en compte des interactions multi-domaines lors de l’évaluation de la fiabilité prévisionnelle des systèmes mécatroniques

Deterministic and stochastic dependability analysis of industrial systems using Coloured Petri Nets approach

Using Coloured Petri Nets for integrated reliability and safety evaluations

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