dc.creatorBatista
dc.creatorFabiano Bianchini; Monteiro Lamim Filho
dc.creatorPaulo Cezar; Pederiva
dc.creatorRobson; Diniz Silva
dc.creatorVinicius Augusto
dc.date2016
dc.datemar
dc.date2017-11-13T11:31:49Z
dc.date2017-11-13T11:31:49Z
dc.date.accessioned2018-03-29T05:46:37Z
dc.date.available2018-03-29T05:46:37Z
dc.identifierIeee Transactions On Instrumentation And Measurement. Ieee-inst Electrical Electronics Engineers Inc, v. 65, p. 559 - 569, 2016.
dc.identifier0018-9456
dc.identifier1557-9662
dc.identifierWOS:000370733500007
dc.identifier10.1109/TIM.2015.2509398
dc.identifierhttp://ieeexplore.ieee.org.ez88.periodicos.capes.gov.br/abstract/document/7374680/
dc.identifierhttp://repositorio.unicamp.br/jspui/handle/REPOSIP/325967
dc.identifier.urihttp://repositorioslatinoamericanos.uchile.cl/handle/2250/1362973
dc.descriptionSignal demodulation is a fundamental procedure in many situations during a spectral analysis. Through an envelope analysis, it becomes possible to identify fault frequencies that are embedded in a modulated signal and that are not clearly visible only by directly applying some signal processing techniques such as the Fourier transform and filtering. In this paper, a very simple and empirical technique for demodulation is proposed. It is based only on the analysis of local extremes from a modulated time sequence to find a new time sequence that carries the wanted relevant fault data. The method of analysis is a good alternative tool for electrical fault detection in induction motors. The numerical and experimental results demonstrate the effectiveness of the proposed technique.
dc.description65
dc.description3
dc.description559
dc.description569
dc.languageEnglish
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.publisherPiscataway
dc.relationIEEE Transactions on Instrumentation and Measurement
dc.rightsfechado
dc.sourceWOS
dc.subjectDemodulation
dc.subjectEnvelope Detection
dc.subjectFault Diagnosis
dc.subjectHilbert Transform (ht)
dc.subjectInduction Motors
dc.subjectSignal Processing Algorithms
dc.titleAn Empirical Demodulation For Electrical Fault Detection In Induction Motors
dc.typeArtículos de revistas


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