New adaptive lifting scheme and its applying to fault current denoising

Author

Hu, Wei ; Hu, Jingtao

Author_Institution

Dept. of Ind. Control Syst., Shenyang Inst. of Autom. Chinese Acad. of Sci., Shenyang

fYear

2008

fDate

25-27 June 2008

Firstpage

3572

Lastpage

3575

Abstract

In this paper, a new adaptive lifting wavelet transform scheme is proposed. The main idea of the scheme is that the choice of predicting operator is triggered by local gradient information of the signal. Such an adaptive scheme can adapt itself well to the analyzed signal, and both the smooth properties and the sharp transition characteristics of the signal can be reserved perfectly by using this adaptive lifting wavelet transform. Simulation examples illustrate that the new scheme is effective.

Keywords

adaptive signal processing; electric motors; fault currents; signal denoising; wavelet transforms; adaptive lifting wavelet transform; fault current denoising; motor faults; predicting operator; signal analysis; signal local gradient information; Adaptive control; Automation; Fault currents; Fault diagnosis; Noise reduction; Programmable control; Signal analysis; Signal processing; Wavelet analysis; Wavelet transforms; adaptive; denoising; gradient; lifting wavelet; predicting operator;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on

Conference_Location

Chongqing

Print_ISBN

978-1-4244-2113-8

Electronic_ISBN

978-1-4244-2114-5

Type

conf

DOI

10.1109/WCICA.2008.4593492

Filename

4593492