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dc.contributor.authorNavarro, L.
dc.contributor.authorDelgado Prieto, Miquel
dc.contributor.authorUrresty Betancourt, Julio César
dc.contributor.authorCusidó Roura, Jordi
dc.contributor.authorRomeral Martínez, José Luis
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament d'Enginyeria Electrònica
dc.identifier.citationNavarro, L. [et al.]. Condition monitoring system for characterization of electric motor ball bearings with distributed fault using fuzzy inference tools. "EEE Instrumentation and Measurement Technology Conference. Proceedings", 06 Maig 2010, p. 1159-1163.
dc.description.abstractThe present work shows a condition monitoring system applied to electric motors ball bearings. Unlike most of the previous work on this area, which is mainly focused on the location of single-point defects in bearing components – inner and outer races, cage or ball faults -, this research covers wide range irregularities which are very often more difficult to analyse. In addition to traditional techniques like vibration and current signals, high frequency current bearing pulses and acoustic emissions are also analysed. High frequency bearings current pulses are acquired using motors especially modified. This modification isolates ball bearings from the motor stator frame, except for a bearing housing single point connected to ground through a proper cable where the pulses signal is measured. A multivariable fuzzy inference analysis approach is presented to get around the diagnosis difficulty.
dc.format.extent5 p.
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Processament del senyal
dc.subject.lcshElectromechanical actuators
dc.titleCondition monitoring system for characterization of electric motor ball bearings with distributed fault using fuzzy inference tools
dc.subject.lemacRodaments de boles
dc.subject.lemacActuadors electromecànics
dc.contributor.groupUniversitat Politècnica de Catalunya. MCIA - Motion Control and Industrial Applications Research Group
dc.description.peerreviewedPeer Reviewed
dc.rights.accessOpen Access
dc.description.versionPostprint (published version)
upcommons.citation.authorNavarro, L.; Delgado, M.; Urresty, J.; Cusido, J.; Romeral, L.
upcommons.citation.publicationNameEEE Instrumentation and Measurement Technology Conference. Proceedings

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