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dc.contributor.authorVieira Junior, Petronioes-ES
dc.contributor.authorSanz Bobi, Miguel Ángeles-ES
dc.contributor.authorRuiz Gomes, Cristianees-ES
dc.contributor.authorSimoes Gomes, Hermínioes-ES
dc.contributor.authorPacheco do Nascimento, Migueles-ES
dc.date.accessioned2016-01-15T11:27:27Z
dc.date.available2016-01-15T11:27:27Z
dc.date.issued2010-05-27es_ES
dc.identifier.urihttp://hdl.handle.net/11531/5613
dc.descriptionCapítulos en libroses_ES
dc.description.abstractes-ES
dc.description.abstractThis paper describes a method for on-line condition monitoring of rotating electric generators without a need for installed sensors dedicated. This sensorless method has been based on continuous monitoring vibration using neural networks for the classification of bearing failures experimentally induced. The results obtained have an error of less than 0,5 confirming the validity of the method proposed.en-GB
dc.format.mimetypeapplication/pdfes_ES
dc.language.isoen-GBes_ES
dc.publisherSin editorial (Viña del Mar, Chile)es_ES
dc.rightses_ES
dc.rights.uries_ES
dc.sourceLibro: International Conference on Industrial Technology - ICIT 2010, Página inicial: 451-456, Página final:es_ES
dc.subject.otherInstituto de Investigación Tecnológica (IIT)es_ES
dc.titleVibration monitoring of electric generators without sensor dedicatedes_ES
dc.typeinfo:eu-repo/semantics/bookPartes_ES
dc.description.versioninfo:eu-repo/semantics/publishedVersiones_ES
dc.rights.accessRightsinfo:eu-repo/semantics/restrictedAccesses_ES
dc.keywordses-ES
dc.keywordsen-GB


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