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
Link To Document :
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