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Trends in Fault Diagnosis for Electrical Machines

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Trends in Fault Diagnosis for Electrical Machines

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dc.contributor.author Henao, Humberto es_ES
dc.contributor.author Capolino, Gerard-André es_ES
dc.contributor.author Fernández-Cabanas, Manés es_ES
dc.contributor.author Filippetti, Fiorenzo es_ES
dc.contributor.author Bruzzese, Claudio es_ES
dc.contributor.author Strangas, Elias es_ES
dc.contributor.author Pusca, Remus es_ES
dc.contributor.author Estima, Jorge es_ES
dc.contributor.author Riera-Guasp, Martín es_ES
dc.contributor.author Hedayati-Kia, Shanin es_ES
dc.date.accessioned 2018-02-25T05:04:38Z
dc.date.available 2018-02-25T05:04:38Z
dc.date.issued 2014 es_ES
dc.identifier.issn 1932-4529 es_ES
dc.identifier.uri http://hdl.handle.net/10251/98423
dc.description.abstract [EN] The fault diagnosis of rotating electrical machines has received an intense amount of research interest during the last 30 years. Reducing maintenance costs and preventing unscheduled downtimes, which result in losses of production and financial incomes, are the priorities of electrical drives manufacturers and operators. In fact, both correct diagnosis and early detection of incipient faults lead to fast unscheduled maintenance and short downtime for the process under consideration. They also prevent the harmful and sometimes devastating consequences of faults and failures. This topic has become far more attractive and critical as the population of electric machines has greatly increased in recent years. The total number of operating electrical machines in the world was around 16.1 billion in 2011, with a growth rate of about 50% in the last five years [1]. es_ES
dc.language Inglés es_ES
dc.publisher Institute of Electrical and Electronics Engineers es_ES
dc.relation.ispartof IEEE Industrial Electronics Magazine es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Electrical machines es_ES
dc.subject Diagnostic techniques es_ES
dc.subject.classification INGENIERIA ELECTRICA es_ES
dc.title Trends in Fault Diagnosis for Electrical Machines es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.1109/MIE.2013.2287651 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Ingeniería Eléctrica - Departament d'Enginyeria Elèctrica es_ES
dc.description.bibliographicCitation Henao, H.; Capolino, G.; Fernández-Cabanas, M.; Filippetti, F.; Bruzzese, C.; Strangas, E.; Pusca, R.... (2014). Trends in Fault Diagnosis for Electrical Machines. IEEE Industrial Electronics Magazine. 8(2):31-42. doi:10.1109/MIE.2013.2287651 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion http://doi.org/10.1109/MIE.2013.2287651 es_ES
dc.description.upvformatpinicio 31 es_ES
dc.description.upvformatpfin 42 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 8 es_ES
dc.description.issue 2 es_ES
dc.relation.pasarela S\267492 es_ES


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