New method of data Treatment related to induction machine bearing fault using Axial Vibration Analytic Signal

This paper deals with a new method called Axial Vibration Analytic Signal applied to Treatment of data for diagnosis the bearing faults of induction motor. This method consists a extracting vibration vectors forms by time-frequency representation. The calculation method based on the cloud points dis...

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Bibliographic Details
Main Authors: Bouguerne, A., Lebaroud, A., Boukadoum, A.
Format: Conference Proceeding
Language:English
Subjects:
axial vibration analytic signal
Ball bearings
Dispersion
dispersion parameter
Feature extraction
hilbert transform
Induction motors
time-frequency representation
Transforms
Vectors
Vibrations
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Summary:This paper deals with a new method called Axial Vibration Analytic Signal applied to Treatment of data for diagnosis the bearing faults of induction motor. This method consists a extracting vibration vectors forms by time-frequency representation. The calculation method based on the cloud points dispersion parameter has two main parts; the first part is the Hilbert transform of axial vibration signals. The second part is the normalization compared to module of AVAS. This method has been applied on the vibration data of a 5.5-kW induction motor test bench.
DOI:10.1109/EVER.2013.6521521