DocumentCode
745046
Title
Mechanical fault detection in a medium-sized induction motor using stator current monitoring
Author
Knight, Andrew M. ; Bertani, Sergio P.
Author_Institution
Dept. of Electr. & Comput. Eng., Univ. of Alberta, Edmonton, Alta., Canada
Volume
20
Issue
4
fYear
2005
Firstpage
753
Lastpage
760
Abstract
This paper presents the results of an experimental study of the detection of mechanical faults in an induction motor. As is reasonably well known, by means of analysis of combinations of permeance and magneto-motive force (MMF) harmonics, it is possible to predict the frequency of air gap flux density harmonics which occur as a result of certain irregularities in an induction motor. In turn, analysis of flux density harmonics allows the prediction of induced voltages and currents in the stator windings. Reviewing this theory, equations which may aid in the identification of mechanical faults are presented. These equations include both those which indicate eccentric conditions and those which have been suggested to help identify bearing faults. The development of test facility to create eccentricity faults and bearing fault conditions is described. This test facility allows rapid access to the motor bearings, allowing an investigation into the ability to detect faulted bearing conditions using stator current monitoring. Experimental test results are presented, indicating that it may be possible to detect bearing degradation using relatively simple and inexpensive equipment.
Keywords
air gaps; fault diagnosis; harmonic analysis; induction motors; machine bearings; machine testing; monitoring; stators; air gap flux density harmonics; bearing faults; eccentric conditions; magnetomotive force harmonics permeance; mechanical fault detection; medium-sized induction motor; motor bearing faults; stator current monitoring; stator windings; Equations; Fault detection; Fault diagnosis; Harmonic analysis; Induction motors; Magnetic analysis; Magnetic flux; Monitoring; Stators; Test facilities; AC machines; bearings (mechanical); fault diagnosis; induction motors;
fLanguage
English
Journal_Title
Energy Conversion, IEEE Transactions on
Publisher
ieee
ISSN
0885-8969
Type
jour
DOI
10.1109/TEC.2005.853731
Filename
1546067
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