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dc.rights.licenseAttribution 4.0 International*
dc.contributor.authorMuxika Olasagasti, Eñaut
dc.contributor.otherArrinda Martínez, Mikel
dc.contributor.otherOyarbide, M.
dc.contributor.otherMacicior, Haritz
dc.date.accessioned2021-11-03T11:39:10Z
dc.date.available2021-11-03T11:39:10Z
dc.date.issued2021
dc.identifier.issn2313-0105en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=164699en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/5409
dc.description.abstractA unified evaluation framework for stochastic tools is developed in this paper. Firstly, we provide a set of already existing quantitative and qualitative metrics that rate the relevant aspects of the performance of a stochastic prognosis algorithm. Secondly, we provide innovative guidelines to detect and minimize the effect of side aspects that interact on the algorithms’ performance. Those aspects are related with the input uncertainty (the uncertainty on the data and the prior knowledge), the parametrization method and the uncertainty propagation method. The proposed evaluation framework is contextualized on a Lithium-ion battery Remaining Useful Life prognosis problem. As an example, a Particle Filter is evaluated. On this example, two different data sets taken from NCA aged batteries and two semi-empirical aging models available in the literature fed up the Particle Filter under evaluation. The obtained results show that the proposed framework gives enough details to take decisions about the viability of the chosen algorithm.en
dc.language.isoengen
dc.publisherMDPIen
dc.rights© 2021 by the authors. Licensee MDPIen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectprognosisen
dc.subjectstochastic algorithmen
dc.subjectparticle filteren
dc.subjectevaluation metricen
dc.subjectuncertainty propagationen
dc.titleUnified Evaluation Framework for Stochastic Algorithms Applied to Remaining Useful Life Prognosis Problemsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceBatteriesen
local.contributor.groupTeoría de la señal y comunicacioneses
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.3390/batteries7020035en
local.rights.publicationfeeAPCen
local.contributor.otherinstitutionhttps://ror.org/03vgz7r63es
local.source.detailsVol. 7. N. 2, 2021en
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en


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