Identification of Metal Crack Signal of Deep Drawing Based on Wavelet Packet and AR Spectrum Analysis

摘要：

According to the characteristics of acoustic emission (AE) signals generated from metal sheet in the process of deep drawing and the test environment, the method of wavelet packet was chosen to decompose the AE signals and eliminate the noises, and the friction of acoustic emission signals between the mold and the parts could be decomposed, finally the AE signals which can precisely represent the early tiny metal crack were left. With the ability of extrapolation and forecast, the autoregressive spectra) analysis is especially appropriate for dealing with the short data. With the experiment analysis, the advantages of wavelet packet and timing analysis are clearly in the process of dealing with the short-term impact signal.

关键词： Drawing part Acoustic emission Wavelet Packet Timing Analysis AR spectrum

作者: Luo Zhigao Xu Aicheng He xin Chen qiang

作者单位: JiangSu University of Mechanical Engineering Zhenjiang, China

会议类型: 国际会议

会议名称: 2010 International Conference on Circuit and Signal Processing(2010年电路与信号处理国际会议 ICCSP 2010)

会议地点: 上海

会议语种:英文

页码: 107-110

在线出版日期: 2010-12-25（万方平台首次上网日期，不代表论文的发表时间）