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Robust prediction of remaining useful lifetime of bearings using deep learning

dc.contributor.authorMagadán Cobo, Luis 
dc.contributor.authorGranda Candás, Juan Carlos 
dc.contributor.authorSuárez Alonso, Francisco José 
dc.date.accessioned2024-08-26T08:33:26Z
dc.date.available2024-08-26T08:33:26Z
dc.date.issued2024
dc.identifier.citationEngineering Applications of Artificial Intelligence, 130, (2024); doi:10.1016/j.engappai.2023.107690
dc.identifier.issn0952-1976
dc.identifier.urihttps://hdl.handle.net/10651/74203
dc.description.sponsorshiphis research has been partially funded by the Spanish National Plan of Research, Development and Innovation under the project EDNA (PID2021-124383OB-I00) and the University of Oviedo, Spain. L. Magadán is supported by the Severo Ochoa program (PA-22-BP21-120).
dc.language.isoeng
dc.relation.ispartofEngineering Applications of Artificial Intelligence
dc.rights© 2023 The Author(s).
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85179884803&doi=10.1016%2fj.engappai.2023.107690&partnerID=40&md5=54be8affc3e912c3be785ffe8b51e1a0
dc.titleRobust prediction of remaining useful lifetime of bearings using deep learning
dc.typejournal article
dc.identifier.doi10.1016/j.engappai.2023.107690
dc.local.notesOA ATUO23
dc.relation.projectIDinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2021-2023/PID2021-124383OB-I00/ES/INTELIGENCIA EN EL EDGE USANDO UN MODELO EVOLUTIVO PARA ARQUITECTURAS DE PROCESAMIENTO DE DATOS DE SENSORES/
dc.relation.publisherversionhttp://dx.doi.org/10.1016/j.engappai.2023.107690
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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