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Methodology for fault detection in induction motors via sound and vibration signals
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Fault detection in induction motors with vibrations and acoustic signals is shown.

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Broken rotor bars, bearing defects and unbalance in induction motors are analyzed.

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The Complete Ensemble Empirical Mode Decomposition method is used.

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The frequency marginal of the Gabor is used for spectral estimation.

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