DocumentCode :
408098
Title :
Extracting gear fault features using integrated bispectrum
Author :
Zhang, Guicai ; Du, Ruxu ; Shi, Tielin
Author_Institution :
Dept. of Autom. & Comput.-Aided Eng., Chinese Univ. of Hong Kong, Shatin, China
Volume :
1
fYear :
2003
fDate :
8-13 Oct. 2003
Firstpage :
548
Abstract :
Gear fault feature extraction using integrated bispectrum is investigated in this paper. Integrated bispectrum is a kind of 1-D higher order spectra, it is obtained by integrating out one of the two frequency variables of the bispectrum. Integrated bispectrum provides more of signal features than bispectrum slices do. Moreover, it is more convenient to use than all kinds of 1-D bispectrum slices. Experimental results show that integrated bispectrum is more effective than bispectrum slices in extracting mechanical fault features.
Keywords :
fault diagnosis; feature extraction; gears; higher order statistics; mechanical engineering; noise; signal processing; 1D higher order spectra; bispectrum slices; gear fault feature extraction; integrated bispectrum; mechanical fault; Biomedical signal processing; Feature extraction; Frequency; Gaussian noise; Gears; Multidimensional signal processing; Noise reduction; Radar signal processing; Signal to noise ratio; Vibrations;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics, Intelligent Systems and Signal Processing, 2003. Proceedings. 2003 IEEE International Conference on
Print_ISBN :
0-7803-7925-X
Type :
conf
DOI :
10.1109/RISSP.2003.1285633
Filename :
1285633
Link To Document :
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