Simple record

dc.rights.licenseAttribution 4.0 International*
dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorAizpurua Unanue, José Ignacio
dc.contributor.otherChiacchio, Ferdinando
dc.contributor.otherCompagno, Lucio
dc.contributor.otherKhodayee, Soheyl Moheb
dc.contributor.otherD’Urso, Diego
dc.date.accessioned2020-05-28T10:47:12Z
dc.date.available2020-05-28T10:47:12Z
dc.date.issued2019
dc.identifier.issn2078-2489en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=154495en
dc.identifier.urihttp://hdl.handle.net/20.500.11984/1670
dc.description.abstractDependability assessment is one of the most important activities for the analysis of complex systems. Classical analysis techniques of safety, risk, and dependability, like Fault Tree Analysis or Reliability Block Diagrams, are easy to implement, but they estimate inaccurate dependability results due to their simplified hypotheses that assume the components’ malfunctions to be independent from each other and from the system working conditions. Recent contributions within the umbrella of Dynamic Probabilistic Risk Assessment have shown the potential to improve the accuracy of classical dependability analysis methods. Among them, Stochastic Hybrid Fault Tree Automaton (SHyFTA) is a promising methodology because it can combine a Dynamic Fault Tree model with the physics-based deterministic model of a system process, and it can generate dependability metrics along with performance indicators of the physical variables. This paper presents the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO), a Matlab® software library for the modelling and the resolution of a SHyFTA model. One of the novel features discussed in this contribution is the ease of coupling with a Matlab® Simulink model that facilitates the design of complex system dynamics. To demonstrate the utilization of this software library and the augmented capability of generating further dependability indicators, three di erent case studies are discussed and solved with a thorough description for the implementation of the corresponding SHyFTA models.en
dc.language.isoengen
dc.publisherMDPIen
dc.rights© 2019 by the authors. Licensee MDPI, Basel, Switzerlanden
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectDependabilityen
dc.subjectMonte Carlo simulationen
dc.subjectMulti-state systemsen
dc.subjectRepairable dynamic faulten
dc.subjectTreesen
dc.subjectDynamic systemsen
dc.subjectHybrid simulationen
dc.titleModelling and Resolution of Dynamic Reliability Problems by the Coupling of Simulink and the Stochastic Hybrid Fault Tree Object Oriented (SHyFTOO) Libraryen
dc.typeinfo:eu-repo/semantics/articleen
dcterms.accessRightsinfo:eu-repo/semantics/openAccessen
dcterms.sourceInformationen
dc.description.versioninfo:eu-repo/semantics/publishedVersionen
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.3390/info10090283en
local.rights.publicationfeeAPCen
local.rights.publicationfeeamount935 €en
local.contributor.otherinstitutionUniversity of Cataniaen
local.contributor.otherinstitutionIslamic Azad Universityen
local.source.detailsVol. 10. Nº 9. 283. Published 11 September, 2019eu_ES


Files in this item

Thumbnail
Thumbnail

This item appears in the following Collection(s)

Simple record

Attribution 4.0 International
Except where otherwise noted, this item's license is described as Attribution 4.0 International