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dc.contributor.authorGarcía Calva, Tomás Alberto
dc.contributor.authorMoríñigo Sotelo, Daniel 
dc.contributor.authorFernández Cavero, Vanessa
dc.contributor.authorRomero Troncoso, René de Jesús
dc.date.accessioned2023-09-19T12:44:15Z
dc.date.available2023-09-19T12:44:15Z
dc.date.issued2022
dc.identifier.citationEnergies, 2022, Vol. 15, Nº. 21, 7855es
dc.identifier.issn1996-1073es
dc.identifier.urihttps://uvadoc.uva.es/handle/10324/61647
dc.descriptionProducción Científicaes
dc.description.abstractThere is an increasing interest in improving energy efficiency and reducing operational costs of induction motors in the industry. These costs can be significantly reduced, and the efficiency of the motor can be improved if the condition of the machine is monitored regularly and if monitoring techniques are able to detect failures at an incipient stage. An early fault detection makes the elimination of costly standstills, unscheduled downtime, unplanned breakdowns, and industrial injuries possible. Furthermore, maintaining a proper motor operation by reducing incipient failures can reduce motor losses and extend its operating life. There are many review papers in which analyses of fault detection techniques in induction motors can be found. However, all these reviewed techniques can detect failures only at developed or advanced stages. To our knowledge, no review exists that assesses works able to detect failures at incipient stages. This paper presents a review of techniques and methodologies that can detect faults at early stages. The review presents an analysis of the existing techniques focusing on the following principal motor components: stator, rotor, and rolling bearings. For steady-state and transient operating modes of the motor, the methodologies are discussed and recommendations for future research in this area are also presented.es
dc.format.mimetypeapplication/pdfes
dc.language.isoenges
dc.publisherMDPIes
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectArtificial intelligencees
dc.subjectElectric motors, Inductiones
dc.subjectMotores de inducciónes
dc.subjectFault diagnosises
dc.subjectFault location (Engineering)es
dc.subjectMachine learninges
dc.subjectAprendizaje automáticoes
dc.subjectQuality controles
dc.subjectControl de calidades
dc.subjectSignal processinges
dc.subjectProcesamiento de señaleses
dc.titleEarly detection of faults in induction motors—A reviewes
dc.typeinfo:eu-repo/semantics/articlees
dc.rights.holder© 2022 The Authorses
dc.identifier.doi10.3390/en15217855es
dc.relation.publisherversionhttps://www.mdpi.com/1996-1073/15/21/7855es
dc.identifier.publicationfirstpage7855es
dc.identifier.publicationissue21es
dc.identifier.publicationtitleEnergieses
dc.identifier.publicationvolume15es
dc.peerreviewedSIes
dc.identifier.essn1996-1073es
dc.rightsAtribución 4.0 Internacional*
dc.type.hasVersioninfo:eu-repo/semantics/publishedVersiones
dc.subject.unesco1203.04 Inteligencia Artificiales
dc.subject.unesco3306.03 Motores Eléctricoses
dc.subject.unesco3306 Ingeniería y Tecnología Eléctricases


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