文献类型：会议论文

英文题名：The Feature Extraction Based on Nonlinear Partial Orthogonal Analysis with B-Spline Function for Signal of Vibrational Sensors

作者：Liu Gui-Guo[1,2];Yue Bin[2];Huang Dao[1];Huang Hai-Yan[3]

机构：[1]ECUST, State Engn Res Ctr Ind Automat, Shanghai 200237, Peoples R China;[2]Zhejiang Business Technol Inst, Mech & Elect Dept, Ningbo 315012, Zhejiang, Peoples R China;[3]ECUST, Res Inst Ind Automat, Shanghai 200237, Peoples R China

会议论文集：International Conference on Intelligent Computation Technology and Automation

会议日期：OCT 20-22, 2008

会议地点：Changsha, PEOPLES R CHINA

语种：英文

外文关键词：Nonlinear analysis - Eigenvalues and eigenfunctions - Extraction - Orthogonal functions - Roller bearings - Interpolation - Vector spaces

摘要：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.