DocumentCode
581233
Title
Diagnosis of eccentricity in induction machines working under fluctuating load conditions, through the instantaneous frequency
Author
Vedreño-Santos, F. ; Riera-Guasp, M. ; Henao, H. ; Pineda-Sánchez, M. ; Antonino-Daviu, J.A.
Author_Institution
Univ. Politec. de Valencia, Valencia, Spain
fYear
2012
fDate
25-28 Oct. 2012
Firstpage
5108
Lastpage
5113
Abstract
This paper introduces a methodology for diagnosing mixed eccentricity fault in squirrel cage induction machines which work under variable load conditions in generator or motor mode; the method is based on the extraction of the instantaneous frequency of the fault related component of stator currents during speed transients, caused by load changes. It is shown that under these conditions, the instantaneous frequency plot of the main fault component versus the slip is a straight line with a specific slope and offset. In addition and for a given pole pair number, this pattern is not dependent on the machine features, nor the way in which the load changes. Besides, the practical methodology of this technique is introduced for diagnosing mixed eccentricity. The approach is validated by laboratory tests.
Keywords
asynchronous machines; squirrel cage motors; stators; eccentricity diagnosis; fluctuating load conditions; generator mode; instantaneous frequency; mixed eccentricity fault; motor mode; speed transients; squirrel cage induction machines; stator currents; variable load conditions; Discrete wavelet transforms; Filtering; Generators; Monitoring; Analytical signal; Hilbert transform; Time-frequency analysis; discrete wavelet transform; fault diagnosis; induction machine; instantaneous frequency; load fluctuating conditions; wind generation;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Montreal, QC
ISSN
1553-572X
Print_ISBN
978-1-4673-2419-9
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2012.6388979
Filename
6388979
Link To Document