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Type: Artigo de Periódico
Title: An Empirical Demodulation For Electrical Fault Detection In Induction Motors
Author: Batista
FB; Lamim
PCM; Pederiva
R; Silva
Abstract: Signal 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.
Subject: Demodulation
Envelope Detection
Fault Diagnosis
Hilbert Transform (ht)
Induction Motors
Signal Processing Algorithms
Citation: Ieee Transactions On Instrumentation And Measurement. IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, n. 65, n. 3, p. 559 - 569.
Rights: fechado
Identifier DOI: 10.1109/TIM.2015.2509398
Date Issue: 2016
Appears in Collections:Unicamp - Artigos e Outros Documentos

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