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Application of higher order spectral analysis for rotor broken bar detection in induction machines

Application of higher order spectral analysis for rotor broken bar detection in induction machines,10.1109/DEMPED.2011.6063598,Lotfi Saidi,Humberto He

Application of higher order spectral analysis for rotor broken bar detection in induction machines  
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Detection and identification of induction machine faults through the stator current signal using higher order spectra analysis is presented. This paper proposes two higher order spectra techniques, namely the power spectrum and the slices of bi-spectrum used for the analysis of induction machine stator current leading to the detection of electrical failures within the rotor. Experimental signals have been analyzed highlighting that bi-spectrum results show their superiority in the accurate detection of rotor broken bars. Even when the induction machine is rotating at a low level of shaft load, the rotor fault detection is efficient. OR several decades both correlation and power spectrum have been most significant tools for digital signal processing (DSP) applications in electrical machines diagnosis area. The information contained in the power spectrum (PS) is sufficient for a full statistical description of Gaussian signals. However, there are several situations for which looking beyond the autocorrelation of a signal to extract the information regarding deviation from Gaussianity and the presence of phase relations is needed. Higher order spectra (HOS), also known as polyspectra, are spectral representations of higher order statistics, i.e. moments and cumulants of third order and beyond. HOS can detect deviations from linearity, stationarity or Gaussianity in any signal (1), (2). Most of the electrical machines signals are non-linear, non-stationary and non-Gaussian in nature and therefore, it can be more interesting to analyze them with HOS compared to the use of second-order correlations and power spectra. In this paper, the application of HOS on stator current signals for different rotor broken bars fault severities and shaft load levels has been discussed. So far, the large usage of induction machines (IM) is mainly due to their robustness, to their power efficiency and to their reduced manufacturing cost. Therefore, the necessity for the increasing reliability of electrical machines is now an important challenge and because of the progress made in engineering, rotating machinery is becoming faster, as well as being required to run for longer periods of time. By
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