Spectral analysis for the rotor defects diagnosis of an induction machine

Abstract

The main goal of this paper is to develop a method permitting to determine the nature of the rotor defects thanks to the spectral analysis. The development growing that the equipment of measurement (spectral analyzer) and the software of digital signal processing had made possible the diagnosis of the electric machine defects. Motor current signature analysis (MCSA) is used for the detection of the electrical and the mechanical faults of an induction machine to identify rotor bar faults. Also, the calculation of machine inductances (with and without rotor defects) is carried out by the tools of software MATLAB before the beginning of simulation under Software SIMULINK. Simulation and experimental results are presented to confirm the validity of proposed approach.

An experimental study on stator and rotor defects of squirrel cage induction machines

“…By observing the spectrum of the currents stator for the four machines (Figs.1, 2, 3 and 4) one can note that the amplitudes of the peaks on the right and on the left of fundamental characterize, in term of comparison, the nature of the defect [15]. Of course that for a rotor with two broken bars, the amplitude of the first peak is higher than that translating the defect of rotor with one broken bar which it is slightly higher than that corresponding to rotor with an endring portion broken.…”