DocumentCode
477594
Title
The Feature Extraction Based on Nonlinear Partial Orthogonal Analysis with B-Spline Function for Signal of Vibrational Sensors
Author
Liu Gui-Guo ; Yue Bin ; Huang Dao ; Huang Hai-Yan
Author_Institution
State Eng. Res. Center of Ind. Autom., ECUST, Shanghai
Volume
1
fYear
2008
fDate
20-22 Oct. 2008
Firstpage
1171
Lastpage
1175
Abstract
The new method of feature extraction based on nonlinear partial orthogonal analysis with B-spline function for signal of vibrational sensors is proposed in the paper. Firstly, the nonlinear signal is mapped into linear space; then, the signal is analyzed in the linear space; finally, a set of eigenvalue vectors are obtained with nonlinear partial orthogonal analysis. The vectors reflect a pattern of the signal steadily. The experiment for vibrational signals of normal and abnormal rolling bearings shows that the pattern of every signal is extracted with the method steadily and effectively.
Keywords
eigenvalues and eigenfunctions; feature extraction; rolling bearings; sensors; signal processing; splines (mathematics); vibrations; abnormal rolling bearings; b-spline function; eigenvalue vectors; feature extraction; nonlinear partial orthogonal analysis; nonlinear signal; normal rolling bearings; vibrational sensors; Automation; Computer industry; Eigenvalues and eigenfunctions; Electronics industry; Fault diagnosis; Feature extraction; Intelligent sensors; Paper technology; Signal analysis; Spline; B-spline function mapping; fault diagnosis; feature extraction; nonlinear partial orthogonal analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Computation Technology and Automation (ICICTA), 2008 International Conference on
Conference_Location
Hunan
Print_ISBN
978-0-7695-3357-5
Type
conf
DOI
10.1109/ICICTA.2008.209
Filename
4659677
Link To Document