Method to assess and optimise dependability of complex macro-systems: application to a railway signalling system

Détails

Ressource 1Télécharger: BIB_949F2B934A1E.P001.pdf (681.61 [Ko])
Etat: Serval
Version: Author's accepted manuscript
ID Serval
serval:BIB_949F2B934A1E
Type
Article: article d'un périodique ou d'un magazine.
Collection
Publications
Titre
Method to assess and optimise dependability of complex macro-systems: application to a railway signalling system
Périodique
Safety Science
Auteur(s)
Vernez David, Vuille François
ISSN
0925-7535
Statut éditorial
Publié
Date de publication
2009
Peer-reviewed
Oui
Volume
47
Numéro
3
Pages
382-394
Langue
anglais
Résumé
Achieving a high degree of dependability in complex macro-systems is challenging. Because of the large number of components and numerous independent teams involved, an overview of the global system performance is usually lacking to support both design and operation adequately. A functional failure mode, effects and criticality analysis (FMECA) approach is proposed to address the dependability optimisation of large and complex systems. The basic inductive model FMECA has been enriched to include considerations such as operational procedures, alarm systems. environmental and human factors, as well as operation in degraded mode. Its implementation on a commercial software tool allows an active linking between the functional layers of the system and facilitates data processing and retrieval, which enables to contribute actively to the system optimisation. The proposed methodology has been applied to optimise dependability in a railway signalling system. Signalling systems are typical example of large complex systems made of multiple hierarchical layers. The proposed approach appears appropriate to assess the global risk- and availability-level of the system as well as to identify its vulnerabilities. This enriched-FMECA approach enables to overcome some of the limitations and pitfalls previously reported with classical FMECA approaches.
Mots-clé
Transportation , Risk Analysis , Equipment Failure Analysis ,
Web of science
Open Access
Oui
Création de la notice
04/03/2010 13:59
Dernière modification de la notice
08/05/2019 22:14
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