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Health indicator for machine condition monitoring built in the latent space of a deep autoencoder

dc.contributor.authorGonzález Muñiz, Ana 
dc.contributor.authorDíaz Blanco, Ignacio 
dc.contributor.authorCuadrado Vega, Abel Alberto 
dc.contributor.authorGarcía Pérez, Diego 
dc.date.accessioned2022-11-08T12:44:18Z
dc.date.available2022-11-08T12:44:18Z
dc.date.issued2022
dc.identifier.citationReliability Engineering and System Safety, 224, (2022); doi:10.1016/j.ress.2022.108482
dc.identifier.issn0951-8320
dc.identifier.urihttp://hdl.handle.net/10651/65555
dc.description.sponsorshipSpanish National Research Agency [PID2020-115401GB-I00/AEI/10.13039/501100011033]; Principado de Asturias regional government
dc.language.isoeng
dc.relation.ispartofReliability Engineering and System Safety
dc.rights© 2022 The authors. Published by Elsevier Ltd.
dc.rightsCC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85129508290&doi=10.1016%2fj.ress.2022.108482&partnerID=40&md5=9a8182f7bc6d0a383a8f2c2da7d71eb0
dc.titleHealth indicator for machine condition monitoring built in the latent space of a deep autoencoder
dc.typejournal article
dc.identifier.doi10.1016/j.ress.2022.108482
dc.local.notesOA ATUO22
dc.relation.projectIDAEI/PID2020-115401GB-I00
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.ress.2022.108482
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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