Research on the signal feature extraction method in Steel cord conveyor belt with metal magnetic memory testing

摘要：

　　The detection accuracy level of the metal magnetic memory (MMM) technology is decided by the extraction of weak fault signal.In this paper,the fault characteristic signal of the MMM was extracted by the method of combining wavelet analysis and singular value decomposition (SVD).The fault signal was decomposed into different scale components with the wavelet analysis.And the SVD was applied to decompose characteristic matrix,which was composed with the different scale components,into different subspace.With the reconstruction of the singular vectors,the signal features were extracted effectively.The experiments show that the method is effective.

关键词： metal magnetic memory wavelet analysis SVD feature extraction

作者: QIAO Tiezhu LU Xiaoyu LI Jianyong

作者单位: Measuring and Controlling Technology Institute Taiyuan University of TechnologyTaiyuan, China

会议类型: 国际会议

会议名称: 中国微米纳米技术学会第14届学术年会、第3届国际年会暨第6届微米纳米技术“创新与产业化国际研讨与展览会(CSMNT2012 & ICMAN2012)

会议地点: 杭州

会议语种:英文

页码: 1-6

在线出版日期: 2012-11-04（万方平台首次上网日期，不代表论文的发表时间）