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dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorAizpurua Unanue, Jose Ignacio
dc.contributor.otherKhodayee, Soheyl Moheb
dc.contributor.otherOliveri, Ludovica
dc.contributor.otherD'Urso, Diego
dc.contributor.otherChiacchio, Ferdinando
dc.date.accessioned2024-07-02T08:08:58Z
dc.date.available2024-07-02T08:08:58Z
dc.date.issued2022
dc.identifierhttps://www.cal-tek.eu/proceedings/i3m/2022/mas/010/en
dc.identifier.isbn978-88-85741-76-8en
dc.identifier.issn2724-0037en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=170573en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6562
dc.description.abstractAccurate reliability analysis modelling requires appropriate stochastic formalisms, which can capture the relevant operation and degradation characteristics of the system under analysis. Physical, working and environmental conditions can be very relevant, but their inclusions in a stochastic model is challenging. Among reliability analysis methodologies, a recent formalism named Hybrid Dynamic Fault Tree, which emerges from dynamic reliability theory, may be a suitable candidate to accomplish in this task. In this paper, a wind turbine generator case study has been chosen to demonstrate the potential capabilities of this modeling approach and motivate the use of this formalism to other practitioners. The main novelty of the proposed model is the integration of the wind speed, an independent exogenous physical variable, as a trigger to modify the parameters of the probability density of failures and the aging of components. The Hybrid Dynamic Fault Tree of the proposed case study has been coded using the SHyFTOO, an easy-to-use library developed under the MATLAB® framework. Achieved results show that the Hybrid Dynamic Fault Tree is a valid formalism that should be used to improve the modelling of a multi-state system when working and operative conditions cannot be disregarded.en
dc.language.isoengen
dc.publisherCalTeken
dc.rights© 2022 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectdynamic fault treesen
dc.subjectMonte Carloen
dc.subjectMatlab Frameworken
dc.subjectRAMSen
dc.subjectODS 7 Energía asequible y no contaminantees
dc.subjectODS 13 Acción por el climaes
dc.titleReliability simulation of a multi-state Wind Turbine Generator using SHyFTOOen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceInternational Multidisciplinary Modelling & Simulation Conferenceen
local.contributor.groupTeoría de la señal y comunicacioneses
local.description.peerreviewedtrueen
local.identifier.doi10.46354/i3m.2022.mas.010en
local.contributor.otherinstitutionhttps://ror.org/03a64bh57es
local.contributor.otherinstitutionhttps://ror.org/01cc3fy72es
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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