| Popis: |
In this paper, we present fault prognosis and diagnosis technique in a three phase asynchronous machine. Based on statistical analysis of scalar indicator resulting from the TSA method (Time Synchronous Averaging), this technique will be dedicated to condition monitoring of machines. In addition, spectral analysis, using the Fast Fourier Transform (FFT) algorithm of the stator- current signature MCSA (Motor Current Signature Analysis), determines their frequency composition, and therefore, allows finding the spectral lines associated to the fault. This work highlights our first results related to the comparison of the spectral representation of the stator current and that of the residual current obtained by the TSA method. We proved the effectiveness of these techniques by simulation and experimental tests made on a wound rotor induction machine. The fault rotor is taken into account by an additional resistance of one of the rotor phases. The results of simulations and experiments underline the practical utility of this method. |
