Discrete wavelet transform for stator fault detection in induction motors

This paper present the stator inter-turn short circuit fault detection in induction machine from stator current analysis using two techniques, such as the fast Fourier transform (FFT), which utilize the steady-state spectral components of the stator quantities. The accuracy of these techniques depends on the load and speed of the machine and the discrete wavelet transform (DWT) witch considered an ideal tool for this purpose, due to its suitability for the analysis of signal whose frequency spectrum is variable in time. So, it will study the problem of stator inter-turn short circuit. Simulation and experimentally results are presented in order to compare the performances of these techniques for inter-turn short circuit fault diagnosis.