DocumentCode
148375
Title
Uncovering harmonic content via skewness maximization - a Fourier analysis
Author
Ovacikli, Aziz Kubilay ; Paajarvi, Patrik ; LeBlanc, James P. ; Carlson, Johan E.
Author_Institution
Rubico Vibration Anal. AB, Lulea, Sweden
fYear
2014
fDate
1-5 Sept. 2014
Firstpage
481
Lastpage
485
Abstract
Blind adaptation with appropriate objective function results in enhancement of signal of interest. Skewness is chosen as a measure of impulsiveness for blind adaptation to enhance impacting sources arising from defective rolling bearings. Such impacting sources can be modelled with harmonically related sinusoids which leads to discovery of harmonic content with unknown fundamental frequency by skewness maximization. Interfering components that do not possess harmonic relation are simultaneously suppressed with proposed method. An experimental example on rolling bearing fault detection is given to illustrate the ability of skewness maximization in uncovering harmonic content.
Keywords
Fourier analysis; adaptive filters; harmonic analysis; signal processing; Fourier analysis; adaptive filters; blind adaptation; defective rolling bearings; fundamental frequency; harmonic content; skewness maximization; Deconvolution; Harmonic analysis; Noise; Power system harmonics; Rolling bearings; Vibrations; Adaptive filters; harmonic analysis; higher order statistics; rolling element bearings;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing Conference (EUSIPCO), 2014 Proceedings of the 22nd European
Conference_Location
Lisbon
Type
conf
Filename
6952135
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