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Wavelet denoising for electric drives

Lookup NU author(s): Professor Damian Giaouris, Emeritus Professor John Finch, Professor Ralph Kennel, Georges El-Murr



Signal identification is a common problem in electric drive applications. This paper proposes the use of wavelet transforms to extract and identify specific frequency components. Initially, current measurements from a constant voltage/hertz application are filtered using various wavelets and the results compared with conventional filtering methods. A pseudoadaptive denoising method is then proposed based on wavelets which adjust the level of decomposition depending on the rotor speed. Finally, wavelets are used in a high frequency injection speed estimation scheme and shown to be superior to conventional methods in such cases, where the useful information may be at higher frequency and have imprecise frequency components. Experimental and simulated results verify these statements. © 2008 IEEE.

Publication metadata

Author(s): Giaouris D, Finch JW, Ferreira OC, Kennel RM, El-Murr GM

Publication type: Article

Publication status: Published

Journal: IEEE Transactions on Industrial Electronics

Year: 2008

Volume: 55

Issue: 2

Pages: 543-550

Print publication date: 01/02/2008

Date deposited: 26/05/2010

ISSN (print): 0278-0046

ISSN (electronic): 1557-9948

Publisher: IEEE


DOI: 10.1109/TIE.2007.911943


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