An Empirical Demodulation for Electrical Fault Detection in Induction Motors

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 tech...

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Bibliographic Details
Published in:IEEE transactions on instrumentation and measurement 2016-03, Vol.65 (3), p.559-569
Main Authors: Bianchini Batista, Fabiano, Monteiro Lamim Filho, Paulo Cezar, Pederiva, Robson, Diniz Silva, Vinicius Augusto
Format: Article
Language:English
Subjects:
Circuit faults
Demodulation
Electrical faults
Empirical analysis
envelope detection
fault diagnosis
Faults
Frequency modulation
Hilbert transform (HT)
Induction motors
Mathematical models
Rotors
Signal processing
signal processing algorithms
Spectra
Time-frequency analysis
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Summary: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.
ISSN:0018-9456
1557-9662
DOI:10.1109/TIM.2015.2509398