Paper title: EXPERIMENTAL ANALYSIS OF DYNAMIC ECCENTRICITY IN THE INDUCTION MACHINE USING MOTOR CURRENT SIGNATURE ANALISYS AND DISCRETE WAVELET TRANSFORM
Author(s): AHCENE BOUZIDA, RADIA ABDELLI, OMAR TOUHAMI,
Abstract: The diagnosis of the dynamic eccentricity faults based on the old analysis techniques, such as the motor current signature
analysis (MSCA), suffers from some difficulties and the exactness of those techniques is related to the load, healthy conditions
and the ability to maintain a constant speed during the data acquisition process. To overcome this problem, the analysis of the
stator current waveform using the discrete wavelet transform has been investigated and a method for the diagnosis of dynamic
eccentricity for the induction machine has been presented. It is based on the analysis of the stator current, using the MCSA and
the discrete wavelet transform (DWT), in order to extract the different related frequencies and the different energies stored in
each level obtained by DWT. The performance offered by using the DWT is the ability to provide an ideal differentiation
between the healthy and the eccentric machine.
Keywords: Induction machine, Eccentricity, Multi-level decomposition, Fault diagnostic, Discrete wavelet transform Year: 2017 | Tome: 62 | Issue: 2 | Pp.: 142-147
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