Mechanical fault detection in electric motors measured by a digital signal processing device in an optical mouse

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MetadadosDescriçãoIdioma
Autor(es): dc.creatorRibeiro, Diogo Aranha-
Autor(es): dc.creatorFerreira, Danton Diego-
Autor(es): dc.creatorPereira, Daniel Augusto-
Autor(es): dc.creatorBraga Junior, Roberto Alves-
Autor(es): dc.creatorNunes, Rodrigo Dantas-
Data de aceite: dc.date.accessioned2026-02-09T12:14:50Z-
Data de disponibilização: dc.date.available2026-02-09T12:14:50Z-
Data de envio: dc.date.issued2020-04-03-
Data de envio: dc.date.issued2020-04-03-
Data de envio: dc.date.issued2019-05-
Fonte completa do material: dc.identifierhttps://repositorio.ufla.br/handle/1/39721-
Fonte completa do material: dc.identifierhttps://www.sciencedirect.com/science/article/pii/S026322411930168X-
Fonte: dc.identifier.urihttp://educapes.capes.gov.br/handle/capes/1157451-
Descrição: dc.descriptionThe objective of this work is to study the application of a new methodology for diagnosing mechanical faults in electric motors through vibration analysis and using a non-contact approach based on a digital signal processing (DSP) device in an optical computer mouse. The mechanical fault used to test the proposed methodology was related to bearing damage. An experimental bench was set up to test the detection of damage in bearings. The analyses of the measured signals were performed in both time and frequency domains. Pattern recognition methods were used to classify the bearing state as damaged or not damaged. The electric motor was tested with two sets of bearings: a new set and a damaged set. The results demonstrated that the proposal for the prediction and diagnosis of faults was an efficient and promising technique because it is non-destructive and non-invasive due to the absence of contact between the sensor and the motor. Based on the concept of predictive maintenance, the proposed method has the potential to become an efficient and low-cost tool for predicting failures.-
Idioma: dc.languageen-
Publicador: dc.publisherElsevier-
Direitos: dc.rightsrestrictAccess-
???dc.source???: dc.sourceMeasurement-
Palavras-chave: dc.subjectDigital signal processing (DSP)-
Palavras-chave: dc.subjectPredictive maintenance-
Palavras-chave: dc.subjectElectric motor-
Palavras-chave: dc.subjectFault detection-
Palavras-chave: dc.subjectVibration analysis-
Título: dc.titleMechanical fault detection in electric motors measured by a digital signal processing device in an optical mouse-
Tipo de arquivo: dc.typeArtigo-
Aparece nas coleções:Repositório Institucional da Universidade Federal de Lavras (RIUFLA)

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