数据采集与处理2012，Vol.27Issue(2)：241-247,7.
基于奇异值分解和小波包分析的液压泵振动信号特征提取方法
Feature Extraction Method of Hydraulic Pump Vibration Signal Based on Singular Value Decomposition and Wavelet Packets Analysis
摘要
Abstract
A fault feature extraction method for hydraulic pump vibration signal is presented, based on singular value decomposition (SVD) and wavelet packets analysis. In the method, the noise signal is decomposed into the vectors with relatively uniform noise distributions. Then, through wavelet packets threshold de-noising on every vector, the de-noised vectors are even tually reconstructed . De-noised signal is decomposed by wavelet packets, thus extracting ev ery power of frequency bands. Taking the gear pump as an example, the features of gear pump air pocket fault, gear abrasion, and side plate abrasion are extracted by using the method, as well as normal state vibration signal. The result indicates that the method can effectively ex tract the features of gear pump.关键词
液压泵/奇异值分解/特征提取/小波包分析/频带能量Key words
hydraulic pump/ singular value decomposition (SVD)/ feature extraction/ wavelet packets analysis/ power of frequency band分类
信息技术与安全科学引用本文复制引用
何庆飞,姚春江,陈桂明,陈小虎,杨庆..基于奇异值分解和小波包分析的液压泵振动信号特征提取方法[J].数据采集与处理,2012,27(2):241-247,7.基金项目
国防预研基金(9140A27020309JB4701)资助项目 （9140A27020309JB4701）
第二炮兵工程学院科技创新基金(XY2010JJB38)资助项目. （XY2010JJB38）
