Research on Single Fiber Tensile Fracture Feature Extraction Based on Acoustic Emission

摘要：

　　Vibration signals will be generated when a single fiber is stretched and broken,and the signals have nonlinear and non-stationary characteristics.When a single fiber is broken,its signals contain different characteristic information.In this paper,a singular value decomposition (SVD) method for feature extraction of single fiber fracture signals is presented.The time-frequency matrix of signal is constructed by Hilbert-Huang transformation,and the singular value characteristic quantity of time series is obtained by singular value decomposition of the time-frequency matrix.Vibration signals generated by tensile fracture of single fiber of Polyester and Cotton were collected,and fuzzy c-means clustering was carried out for singular values of time-frequency matrix,and the results showed that the singular value characteristic quantity could accurately match different fracture states of single fiber.

关键词： Acoustic emission Single fiber tensile fracture Vibration signal Time-frequency matrix Singular value decomposition Fuzzy c-means clustering

作者: XueyuZhang BinjieXin YuanshengZheng MeiwuShi LanTianLin Cong Gao YananYi ZuminYang HandianLi

作者单位: Shanghai University of Engineering Science, Songjiang District, Shanghai City, 201620, China Quartermaster Research Institute of Engineering and Technology, Beijing 100010, China Shandong Hong Ye textile co.LTD,251619, China

会议类型: 国际会议

会议名称: 2019上海纺织服装创意创新研究生学术论坛暨第十三届纺织服装创新国际论坛

会议地点: 上海

会议语种:英文

页码: 89-94

在线出版日期: 2019-10-23（万方平台首次上网日期，不代表论文的发表时间）