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Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders
dc.contributor.author | González Muñiz, Ana | |
dc.contributor.author | Díaz Blanco, Ignacio | |
dc.contributor.author | Cuadrado Vega, Abel Alberto | |
dc.contributor.author | García Pérez, Diego | |
dc.contributor.author | Pérez, D. | |
dc.date.accessioned | 2023-02-01T11:51:48Z | |
dc.date.available | 2023-02-01T11:51:48Z | |
dc.date.issued | 2022 | |
dc.identifier.citation | Computers and Electrical Engineering, 101 (2022); doi:10.1016/j.compeleceng.2022.108065 | |
dc.identifier.issn | 0045-7906 | |
dc.identifier.uri | http://hdl.handle.net/10651/66145 | |
dc.description.sponsorship | This work has been financed by the Spanish National Research Agency (under grant number PID2020-115401GB-I00/AEI/ 10.13039/501100011033 ). The authors would also like to thank the financial support provided by the Principado de Asturias government, Spain through the predoctoral grant “Severo Ochoa”. | |
dc.language.iso | eng | |
dc.relation.ispartof | Computers and Electrical Engineering | |
dc.rights | © 2022 Los autores. Publicado por Elsevier Ltd. | |
dc.rights | CC Reconocimiento - No Comercial - Sin Obra Derivada 4.0 Internacional | |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | |
dc.source | Scopus | |
dc.source.uri | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85130587157&doi=10.1016%2fj.compeleceng.2022.108065&partnerID=40&md5=58262f51a6ce612dbc3e6ca73765e65b | |
dc.title | Two-step residual-error based approach for anomaly detection in engineering systems using variational autoencoders | |
dc.type | journal article | |
dc.identifier.doi | 10.1016/j.compeleceng.2022.108065 | |
dc.local.notes | OA ATUO22 | |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PID2020-115401GB-I00/ES/HERRAMIENTAS DE ANALITICA VISUAL PARA EL ESTUDIO DE PROBLEMAS COMPLEJOS EN INGENIERIA Y BIOMEDICINA/ | |
dc.relation.publisherversion | http://dx.doi.org/10.1016/j.compeleceng.2022.108065 | |
dc.rights.accessRights | open access | |
dc.type.hasVersion | VoR |
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