Diagnosis of eccentricity in induction machines working under fluctuating load conditions, through the instantaneous frequency

Vedreno-Santos, F.; Riera-Guasp, M.; Henao, H.; Pineda-Sanchez, M.; Antonino-Daviu, J. A.

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

Citation

Vedreno-Santos, F., Riera-Guasp, M., Henao, H., Pineda-Sanchez, M., & Antonino-Daviu, J. A. (2012, October). Diagnosis of eccentricity in induction machines working under fluctuating load conditions, through the instantaneous frequency. Presented at IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society

• Conference Name: IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
• Start Date: Oct 25, 2012
• End Date: Oct 28, 2012
• Online Publication Date: Dec 24, 2012
• Publication Date: 2012-10
• Deposit Date: Oct 5, 2016
• Publisher: Institute of Electrical and Electronics Engineers
• Book Title: IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
• ISBN: 9781467324212; 9781467324199; 9781467324205
• DOI: https://doi.org/10.1109/iecon.2012.6388979
• Keywords: Analytical signal; discrete wavelet transform; fault diagnosis; Hilbert transform; induction machine; instantaneous frequency; load fluctuating conditions; Timefrequency analysis; wind generation
• Public URL: http://researchrepository.napier.ac.uk/Output/398760