Diamond blunt feature extraction based on bispectrum analysis of acoustic emission signals - 文章详情页

作者：

Xu, H. (Xu, H..) | Wang, M. (Wang, M..) (学者：王民) | Xu, X. (Xu, X..) | Fei, R. (Fei, R..)

收录：

Scopus PKU CSCD

摘要：

To　effectively　identify　the　diamond　sharpness　ratio　during　wheel　dressing　process,　considering　the　non-stationary　specialties　of　acoustic　emission　signals,　the　diamond　blunt　feature　extraction　method　based　on　bispectrum　analysis　was　studied.　The　on-line　wheel　dressing　monitoring　experiments　were　made　to　investigate　the　bispectrum　feature　of　acoustic　emission　signals　when　the　diamond　sharpness　ratio　was　sharp,　middle　blunt　and　blunt,　and　a　diamond　blunt　feature　extraction　method　based　on　main　diagonal　slice　of　normalized　bispectrum　magnitude　of　acoustic　emission　signals　was　proposed.　The　conclusion　is　reached　that　the　diamond　sharpness　ratio　can　be　identified　effectively　by　the　bispectrum　analysis　of　acoustic　emission　signals　during　wheel　dressing　process.

关键词：

Acoustic emission; Bispectrum analysis; Diamond bluntness; Feature extraction

作者机构：

[ 1 ] [Xu, H.]Beijing Polytechnic University, Beijing 100022, China
[ 2 ] [Wang, M.]Beijing Polytechnic University, Beijing 100022, China
[ 3 ] [Xu, X.]Beijing Institute of Machinery, Beijing 100085, China
[ 4 ] [Fei, R.]Beijing Polytechnic University, Beijing 100022, China

通讯作者信息：

[Xu, H.]Beijing Polytechnic University, Beijing 100022, China

电子邮件地址：

查看成果更多字段

成果类型
所属机构

所有年份指定年份从至