DocumentCode
3456834
Title
Short circuit fault detection in PMSM by means of empirical mode decomposition (EMD) and wigner ville distribution (WVD)
Author
Rosero, J. ; Romeral, L. ; Ortega, J.A. ; Rosero, E.
Author_Institution
Motion Control & Ind. Applic. Group, Tech. Univ. of Catalonia, Terrassa
fYear
2008
fDate
24-28 Feb. 2008
Firstpage
98
Lastpage
103
Abstract
This paper presents and analyzes short circuit failures for Permanent Magnet Synchronous Motor (PMSM). The study includes stable condition and speed transients in simulation and realistic experimental conditions. The stator current is analyzed by the empirical mode decomposition (EMD) method, which will generate a collection of intrinsic mode functions (IMF). Finally, the Hilbert-Huang transform (HHT) is used to compute the instantaneous frequencies resulting from the IMFs obtained from the stator currents. Moreover, the IMF 1 and IMF 2 have been analyzed by means of Wigner Ville distribution (WVD). Experimental laboratory results validate the analysis and demonstrate that this kind of time-frequency analysis can be applied to detect and identify short circuit failures in synchronous machines.
Keywords
Hilbert transforms; Wigner distribution; failure analysis; fault diagnosis; permanent magnet motors; short-circuit currents; stators; synchronous motors; time-frequency analysis; Hilbert-Huang transform; PMSM; Wigner Ville distribution; empirical mode decomposition; intrinsic mode functions; permanent magnet synchronous motor; short circuit failures; short circuit fault detection; stator currents; time-frequency analysis; Circuit analysis; Circuit simulation; Computational modeling; Electrical fault detection; Failure analysis; Frequency; Magnetic analysis; Magnetic circuits; Permanent magnet motors; Stators; EMD; HHT; Hilbert Huang Transform; IMF; PMSM drive; WVD; Wigner Ville; empirical mode decomposition; intrinsic mode functions; motor fault; short circuit;
fLanguage
English
Publisher
ieee
Conference_Titel
Applied Power Electronics Conference and Exposition, 2008. APEC 2008. Twenty-Third Annual IEEE
Conference_Location
Austin, TX
ISSN
1048-2334
Print_ISBN
978-1-4244-1873-2
Electronic_ISBN
1048-2334
Type
conf
DOI
10.1109/APEC.2008.4522706
Filename
4522706
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