| 小波分析在刀具磨损状态检测中的应用 |
| |
| 引用本文： | 丛龙慧,韩玉杰. 小波分析在刀具磨损状态检测中的应用[J]. 林业机械与木工设备, 2009, 37(4): 51-52 |
| |
| 作者姓名： | 丛龙慧 韩玉杰 |
| |
| 作者单位： | 东北林业大学,黑龙江,哈尔滨,150040 |
| |
| 摘 要： | 提出一种基于小波分析的声发射刀具磨损状态的判别方法，将占有声发射信号主能量的频段区间提取出来进行信号重构作为识别刀具磨损状态的特征向量。实验证明，该方法具有较高的准确性。
|
| 关 键 词： | 刀具磨损检测 声发射信号 信号重构 小波分析 |
Application of Wavelet Analysis in Tool Wear Status Detection |
| |
| CONG Long-hui,HAN Yu-jie. Application of Wavelet Analysis in Tool Wear Status Detection[J]. Forestry Machinery & Woodworking Equipment, 2009, 37(4): 51-52 |
| |
| Authors: | CONG Long-hui HAN Yu-jie |
| |
| Affiliation: | Northeast Forestry University;Harbin Heilongjiang 150040;China |
| |
| Abstract: | A method of distinguishing of acoustic emission tool wear state based on wavelet analysis is presented.The frequency band interval occupying the main energy of acoustic emission signals is extracted for signal reconstruction which is used as the eigenvector for distinguishing tool wear state.The experiment shows that the method features high accuracy. |
| |
| Keywords: | tool wear detection acoustic emission signal signal reconstruction wavelet analysis |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
