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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 |