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Conditioning of a statistical indicator for the detection of anasynchronous machine rotor faults

Published online by Cambridge University Press:  16 November 2012

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Abstract

In this paper, the cyclostationary characteristics of electrical signals will beexploited in order to detect the rotor faults of an asynchronous machine. These defectsare the most complex in terms of detection since they interact with the 50 Hz carrier witha weak band occupied in frequency. The testing ground used includes an industrialthree-phase wound rotor asynchronous motor of 400 V, 6.2 A, 50 Hz, 3 kW, 1385 rpmcharacteristics. The rotor fault has been carried out by adding an extra 40 mΩ resistanceon one of the rotor phases (i.e. 10% of the rotor resistance value per phase,Rr = 0.4Ω). From the stator voltage andcurrent acquisition, and by application of the Time Synchronous Averaging (TSA) method tothe stator current, the electrical signal will be conditioned in order to obtain asensitive indicator allowing to easily distinguish the healthy cases from defective ones.

Keywords

Cyclostationaritytime synchronous averaging (TSA)monitoringrotor faultasynchronous motorCyclostationnaritémoyennage synchronesurveillancedéfaut rotoriquemoteur asynchrone
Type
Research Article
Information
Mechanics & Industry , Volume 13 , Issue 3 , 2012 , pp. 197 - 203
Copyright
© AFM, EDP Sciences 2012

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References

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