Reliability and safety

Relevance of RAMS (Reliability, Availability, Maintainability and Safety) studies. Basic concepts. Operational feedback in RAMS. Modelling of one component – elements of renewal theory. Boolean qualitative and quantitative analysis methods for multi-component systems (reliability block diagrams, fault trees, event trees). Markovian reliability and modelling of functional dependencies. RAMS modelling based on Petri nets and Monte Carlo simulation. Maintenance policies.

This course treats the issues of safety and performances of industrial systems subject to failures. It provides an overview of the main methodologies used in RAMS (Reliability, Availability, Maintainability and Safety) assessments.

Oral lectures with many exercises and tutorials, some of which on commercial software. seminars.
Lectures are also available online, given the sanitary situation.

Références, bibliographie et lectures recommandées

A.Pagès & M. Gondran, “Fiabilité des Systèmes”, Eyrolles, Paris, 1980. H. Kumamoto & E.J. Henley, « Probabilistic Risk Assessment and Management for Engineers and Scientists », 2nd edition, IEEE Press, New York, 1996. M. Modarres, “What Every Engineer Should Know about Reliability and Risk Analysis”, Marcel Dekker Inc., New York, 1993. A. Lannoy, “Analyse Quantitative et Utilité du Retour d’Expérience pour la Maintenance des Matériels et de la Sécurité », Eyrolles, Paris, 1996. A. Dubi, « Monte Carlo Applications in System Engineering », John Wiley & Sons, Chichester, 1999. J. Libmann, “Eléments de Sûreté Nucléaire”, IPSN, Les Editions de Physique, 1996. T. Bedford & R. Cooke, « Probabilistic Risk Analysis – Foundations and Methods », Cambridge University Press, 2001.

Contacts

Métrologie nucléaire Bât D, Porte B, Niv 3, local 153 Tél : 02/650 20 60 - Mail : pierre.etienne.labeau@ulb.be

Campus

Solbosch

Méthode(s) d'évaluation

• Autre

Autre

Written exam (open-book format) on theory and exercises.

Construction de la note (en ce compris, la pondération des notes partielles)

Written exam (100%)

Langue(s) d'évaluation

• anglais