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