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Modeling system reliability aspects of ERTMS/ETCS by fault trees and Bayesian networks
ANSALDO SIGNAL, Italy ; Università di Napoli Federico II, Italy.ORCID iD: 0000-0002-2833-7196
ANSALDO SIGNAL, Italy ; Seconda Università di Napoli, Italy.
Università di Napoli Federico II, Italy.
Università di Napoli Federico II, Italy.
2006 (English)In: Safety and Reliability for Managing Risk: Proceedings of the European Safety and Reliability Conference 2006, ESREL 2006 / [ed] Guedes Soares, Zio, London: Taylor & Francis, 2006, p. 2675-2683Conference paper, Published paper (Refereed)
Abstract [en]

Critical control systems require proper techniques to predict their failure rate since early design stages, in order to fulfil dependability requirements and minimize development costs. Bayesian Networks have been shown to be suitable to model system reliability aspects, extending the modeling power of Fault Trees and featuring a better solving efficiency with respect to Petri Nets. In this paper we exploit the Fault Tree and Bayesian Network formalisms in order to perform a hardware reliability analysis of a complex real world case study: the European Railway Traffic Management System/European Train Control System (ERTMS/ETCS). ERTMS/ETCS is a recent standard specification aimed at improving interoperability, performances and dependability of modern railways. An implementation of ERTMS/ETCS is a distributed heterogeneous system with strict reliability requirements. Starting from such requirements and from a reference hardware architecture, we studied system reliability by instantiating models with realistic parameters and performing a series of sensitivity analyses in order to highlight design trade-offs. By evaluating and integrating sub-models using a compositional approach we both obtained several interesting results and showed the effectiveness of a combined use of Fault Trees and Bayesian Networks in dealing with system reliability analyses of train control systems.

Place, publisher, year, edition, pages
London: Taylor & Francis, 2006. p. 2675-2683
Keywords [en]
Bayesian networks, Computer networks, Control system analysis, Control systems, Control theory, Distributed parameter networks, Failure analysis, Fault tree analysis, Graph theory, Inference engines, Intelligent networks, Knowledge based systems, Locomotives, Marine biology, Network management, Petri nets, Quality assurance, Railroad cars, Railroad traffic control, Railroad transportation, Railroads, Reliability analysis, Risk management, Sensitivity analysis, Speech analysis, Speech recognition, Forestry, Case studies, Compositional approaches, Critical control systems, Design trades, Development costs, Distributed heterogeneous systems, Early design stages, European railways, Failure rates, Fault trees, Hardware architectures, Hardware reliabilities, Model systems, Modeling powers, Modeling systems, Real worlds, Reliability requirements, System reliabilities, Train control systems, Reliability, Design tradeoff, Failure rate, Fault-trees, Hardware architecture, Hardware reliability, Heterogeneous systems, Model system, Modeling power, Submodels, System reliability
National Category
Embedded Systems
Research subject
Computer and Information Sciences Computer Science
Identifiers
URN: urn:nbn:se:lnu:diva-73696Scopus ID: 2-s2.0-56149113005ISBN: 0415416205 ISBN: 9780415416207 OAI: oai:DiVA.org:lnu-73696DiVA, id: diva2:1213846
Conference
European Safety and Reliability Conference 2006, ESREL 2006 - Safety and Reliability for Managing Risk, 18 September 2006 through 22 September 2006, Estoril
Available from: 2018-06-05 Created: 2018-06-05 Last updated: 2018-08-13Bibliographically approved

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Flammini, Francesco

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