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A deep learning approach for fusing sensor data from screw compressors

dc.contributor.authorAlonso, S.
dc.contributor.authorPérez, D.
dc.contributor.authorMorán, A.
dc.contributor.authorFuertes, J. J.
dc.contributor.authorDíaz Blanco, Ignacio 
dc.contributor.authorDomínguez, M.
dc.date.accessioned2019-11-14T10:21:21Z
dc.date.available2019-11-14T10:21:21Z
dc.date.issued2019
dc.identifier.citationSensors (Switzerland), 19(13), p. 2868- (2019); doi:10.3390/s19132868
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10651/52898
dc.description.sponsorshipSpanish Ministry of Science and InnovationMinistry of Science and Innovation, Spain (MICINN)Ministry of Education and Science, Spain; European Regional Development FundEuropean Union (EU) [DPI2015-69891-C2-1-R/2-R]
dc.description.sponsorshipThis research was funded by the Spanish Ministry of Science and Innovation and the European Regional Development Fund under project DPI2015-69891-C2-1-R/2-R.
dc.format.extentp. 2868-
dc.language.isoeng
dc.relation.ispartofSensors (Switzerland)
dc.rights© 2019 by the authors
dc.rightsCC Reconocimiento 4.0 Internacional
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.sourceScopus
dc.source.urihttps://www2.scopus.com/inward/record.uri?eid=2-s2.0-85069265609&doi=10.3390%2fs19132868&partnerID=40&md5=dcb5ac757783ac2e87d411903e7c3f88
dc.titleA deep learning approach for fusing sensor data from screw compressors
dc.typejournal article
dc.identifier.doi10.3390/s19132868
dc.relation.projectIDDPI2015-69891-C2-1-R/2-R
dc.relation.publisherversionhttp://dx.doi.org/10.3390/s19132868
dc.rights.accessRightsopen access
dc.type.hasVersionVoR


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