abstract
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This work present a group of tools based on the fast Fourier transform (FFT) and Haar, Daubechies and Coiflet discrete wavelet transform (DWT), using the Park%27s instantaneous space phasor module (ISP) of the three phase induction machine stator currents for electric stator and rotor fault diagnosis. A simulation and experimental validation for inter-turn stator short-circuit electric fault and end-ring broken rotor fault diagnosis was performed. The main objective of the work is to perform a non invasive electric fault diagnosis to avoid economical losses in the industrial process using the advantages of spectral and wavelet tools. © 2015 CEA. Publicado por Elsevier Espaa, S.L.U. Todos los derechos reservados.
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This work present a group of tools based on the fast Fourier transform (FFT) and Haar, Daubechies and Coiflet discrete wavelet transform (DWT), using the Park's instantaneous space phasor module (ISP) of the three phase induction machine stator currents for electric stator and rotor fault diagnosis. A simulation and experimental validation for inter-turn stator short-circuit electric fault and end-ring broken rotor fault diagnosis was performed. The main objective of the work is to perform a non invasive electric fault diagnosis to avoid economical losses in the industrial process using the advantages of spectral and wavelet tools. © 2015 CEA. Publicado por Elsevier Espaa, S.L.U. Todos los derechos reservados.
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