DocumentCode :
469068
Title :
Feature extraction effectiveness analysis of the cyclostationary demodulation method
Author :
Lingli, Cui ; Jianyu, Zhang ; Lixin, Gao ; Fang, Ding
Author_Institution :
Beijing Univ. of Technol., Beijing
Volume :
3
fYear :
2007
fDate :
2-4 Nov. 2007
Firstpage :
1221
Lastpage :
1225
Abstract :
A localized fault such as tooth crack excites transients into the background vibration, which results in a sequence of sideband components in the spectrum which include both amplitude modulation and frequency/phase modulation. Cyclostationary demodulation method provides an effective alternative for this type fault. This paper concerns with the effectiveness of the cyclic autocorrelation function and the degree of cyclostationary function in frequency modulated signal and amplitude modulated signal. By systematically analyzing and comparing these two effective approaches with simulation signals and practical vibration signal, both the advantages and disadvantages of each method and their application conditions are given respectively.
Keywords :
acoustic signal processing; amplitude modulation; correlation methods; demodulation; feature extraction; frequency modulation; phase modulation; vibrations; amplitude modulated signal; amplitude modulation; cyclic autocorrelation function; cyclostationary demodulation method; feature extraction effectiveness analysis; frequency modulated signal; frequency-phase modulation; Amplitude modulation; Demodulation; Feature extraction; Frequency; Gears; Pattern analysis; Phase modulation; Signal analysis; Signal processing; Vibrations; amplitude modulated signal; cyclostationary analysis; demodulation; phase modulated signal;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition, 2007. ICWAPR '07. International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-1065-1
Electronic_ISBN :
978-1-4244-1066-8
Type :
conf
DOI :
10.1109/ICWAPR.2007.4421620
Filename :
4421620
Link To Document :
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