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dc.contributor.authorAizpurua Unanue, Jose Ignacio
dc.contributor.authorGarro Arrazola, Unai
dc.contributor.authorMuxika Olasagasti, Eñaut
dc.contributor.authorMendicute, Mikel
dc.contributor.otherStewart, Brian G.
dc.contributor.otherMcArthur, Stephen D.J.
dc.contributor.otherKearns, Martin
dc.contributor.otherJajware, Nitin
dc.date.accessioned2020-09-22T09:26:00Z
dc.date.available2020-09-22T09:26:00Z
dc.date.issued2020
dc.identifier.issn0885-8977en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=159889en
dc.identifier.urihttp://hdl.handle.net/20.500.11984/1834
dc.description.abstractPower cables are critical assets for the reliable operation of the grid. The cable lifetime is generally estimated from the conductor temperature and associated lifetime reduction. However, these tasks are intricate due to the complex physicsof-failure (PoF) degradation mechanism of the cable. This is further complicated with the different sources of uncertainty that affect the cable lifetime estimation. Generally, simplified or deterministic PoF models are adopted resulting in non-accurate decision-making under uncertainty. In contrast, the integration of uncertainties leads to a probabilistic decision-making process impacting directly on the flexibility to adopt decisions. Accordingly, this paper presents a novel cable lifetime estimation framework that connects data-driven probabilistic uncertainty models with PoF-based operation and degradation models through Bayesian state-estimation techniques. The framework estimates the cable health state and infers confidence intervals to aid decision-making under uncertainty. The proposed approach is validated with a case study with different configuration parameters and the effect of measurement errors on cable lifetime are evaluated with a sensitivity analysis. Results demonstrate that ambient temperature measurement errors influence more than load measurement errors, and the greater the cable conductor temperature the greater the influence of uncertainties on the lifetime estimate.en
dc.language.isoengen
dc.publisherIEEEen
dc.rights© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectcondition monitoringen
dc.subjectcable diagnosticsen
dc.subjectdynamic thermal ratingen
dc.subjectuncertaintyen
dc.subjectsensitivityen
dc.titleA Diagnostics Framework for Underground Power Cables Lifetime Estimation Under Uncertaintyen
dc.typeinfo:eu-repo/semantics/articleen
dcterms.accessRightsinfo:eu-repo/semantics/openAccessen
dcterms.sourceIEEE Transactions on Power Deliveryen
dc.description.versioninfo:eu-repo/semantics/acceptedVersionen
local.contributor.groupTeoría de la señal y comunicacioneses
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1109/TPWRD.2020.3017951en
local.contributor.otherinstitutionUniversity of Strathclydees
local.contributor.otherinstitutionBruce Poweres
local.contributor.otherinstitutionEDF Energyes
local.source.detailsEarly Accessen


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