Predictive diagnosis of unbalance and misalignment defects Based on the FFT and DWT of the stator current of an induction motor: Experimental approaches

Because of the complexity of their modelling, mass imbalance and engine misalignment have not received much attention from researchers. Early, correct and reliable detection of these defects helps to stop the propagation of the failure or limits its evolution to severe degrees. Thus, the purpose of this paper is to extract the frequency signatures of the unbalance and misalignment in the stator current signal from the start of the induction motor using the Fast Fourier Transform (FFT) of the Park current vector supplemented by the Discrete Wavelet Transform (DWT). The experimental validation carried out on a 2.6 Kw "Leroy Somer" induction motor gave satisfactory results that can be operated by trained maintenance personnel who are not necessarily highly qualified in the field.