Bearing fault detection in synchronous machine based on the statistical analysis of stator current

In this paper, an original method to compute an indicator for efficient detection of bearing defaults in high speed synchronous machines is presented. This indicator is based on the statistical analysis of the stator current spectrum. The principle of the method is to compare the current spectrum to...

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Bibliographic Details
Published inIECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society pp. 3862 - 3867
Main Authors Picot, A., Obeid, Z., Regnier, J., Maussion, P., Poignant, S., Darnis, O.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.10.2012
Subjects
Current measurement
Harmonic analysis
Pulse width modulation
Reliability
Rotation measurement
Rotors
Sensors
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Summary:In this paper, an original method to compute an indicator for efficient detection of bearing defaults in high speed synchronous machines is presented. This indicator is based on the statistical analysis of the stator current spectrum. The principle of the method is to compare the current spectrum to a healthy reference spectrum. The reference spectrum is used to center and reduce the current spectrum and provides an indication on its difference from the reference spectrum. A statistical based indicator is then constructed as the sum of the contributions of the centered reduced spectrum for different interesting frequency bands. This indicator has been tested on 2 different test campaigns, for 4 different speeds and compared a vibratory indicator. Results show that the proposed indicator evolves the same way than the vibratory indicator and provides with an efficient detection of bearing fault with only very few false alarms.
ISBN:9781467324199
1467324191
ISSN:1553-572X
DOI:10.1109/IECON.2012.6389275