Extraction Feature of Gas Flucturation of Guideway System Based on the Wavelet Transform - 文章详情页

作者：

Chen, D. J. (Chen, D. J..) (学者：陈东菊) | Fan, J. W. (Fan, J. W..) (学者：范晋伟) | Li, H. Y. (Li, H. Y..) (学者：李洪义) | Zhang, F. H. (Zhang, F. H..)

收录：

CPCI-S EI Scopus

摘要：

A　new　method　for　extracting　spectrum　feature　of　gas　flucturation　of　aerostatic　guideway　is　proposed.　The　flatness　error　of　workpiece　surface　includes　much　errors　information,　and　the　information　contains　high　frequency　signal　and　low　frequency　signal,　for　these　errors　information,　a　new　identification　method　of　turning　errors　of　workpiece　based　on　the　wavelet　transform　and　power　spectral　density　analysis　is　proposed.　According　to　the　focal　variation　character　of　wavelet　and　the　energy　value　of　power　spectral　density　analysis,　the　feature　of　gas　flucturation　of　aerostatic　guideway　from　the　measured　flatness　error　of　workpiece　is　extracted　and　identified.

关键词：

power spectral density Gas flucturation wavelet transform flatness error feature extraction

作者机构：

[ 1 ] [Chen, D. J.]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
[ 2 ] [Fan, J. W.]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
[ 3 ] [Li, H. Y.]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
[ 4 ] [Zhang, F. H.]Harbin Inst Technol, Ctr Precis Engn, Dept Mech Engn, Harbin 150001, Peoples R China

通讯作者信息：

陈东菊
[Chen, D. J.]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

电子邮件地址：

sdchendongju@163.com |
jwfan@bjut.edu.cn |
haiyongok@126.com |
zhangfh@hit.edu.cn

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