Abstract
In this study we investigate the possibility of broken bar fault detection in an induction machine rotor using spectral analysis of the stator currents. The numerical method, presented in this work, based on the Hilbert transform shows the possibility of improving the detection of faults in electrical machines. The results obtained using this method are validated experimentally on a test bench with an induction motor of 5.5 kW.
Highlights
To detect the presence of faults in an induction machine rotor, diagnostic methods are classically based on frequency signals analysis of revealing signals [ – ]
We show that it is possible to improve the diagnosis of the machine by exploiting the information given by the Hilbert transform applied to the amplitude spectrum of the stator current
To be sure that the phase jumps of frequencies ( ± kg)fs present in this spectrum are due to the presence of a damaged rotor bar, we compared with the spectrum of the stator current when the induction machine operates with a healthy rotor
Summary
To detect the presence of faults in an induction machine rotor, diagnostic methods are classically based on frequency signals analysis of revealing signals [ – ]. To be sure that the phase jumps of frequencies ( ± kg)fs present in this spectrum are due to the presence of a damaged rotor bar, we compared with the spectrum of the stator current when the induction machine operates with a healthy rotor.
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