|
|||||
|
|
| 应用模态声发射进行自动源识别 | |
| 引用本文： | 刘晶,陈积懋,Steve Ziole. 应用模态声发射进行自动源识别[J]. 无损检测, 2000, 22(2): 80-83 |
| 作者姓名： | 刘晶 陈积懋 Steve Ziole |
| 作者单位： | 1. 鼎高发展有限公司北京办事处,北京,100055 2. 北京航空工艺研究所 3. Digital Wave Corporation,USA |
| 摘 要： | 疲劳裂纹的生长已成为构件延寿工作关注的焦点。模态声发射由于无需扫查工件而利用裂纹生产产生的能量来实现检测，从而显示了极大的优越性。模态声发射在检测过程中采集几千个波形，其中只有一部分是裂纹生产所产生的。讨论了几种数字信号处理方法，并给出了这些程序的应用结果。 |
| 关 键 词： | 自动识别 信号处理 疲劳裂纹 模态声发射 |
| 修稿时间： | 1999-08-09 |
AUTOMATED SOURCE IDENTIFICATION USING MODAL ACOUSTIC EMISSION |
|
| Liu Jing,Chen Jimao,Steve Ziole. AUTOMATED SOURCE IDENTIFICATION USING MODAL ACOUSTIC EMISSION[J]. Nondestructive Testing, 2000, 22(2): 80-83 | |
| Authors: | Liu Jing Chen Jimao Steve Ziole |
| Affiliation: | Liu Jing,Chen Jimao,Steve Ziole;(Gapgold Development Inc. , Beijing Office) |
| Abstract: | Fatigue crack growth in a structure has become a concern to the prolonging of its lifetime. Modal acoustic emission (MAE) that uses the energy produced by the growing crack for detection without scanning has shown its conspicuous advantage. MAE can result in the capture of thousands of waveforms during a test, of which only a few will be the signals from crack growth. So several digital signal processing approaches for the signals are discussed and the application results of the routines are given. |
| Keywords: | Acoustic emission testing Automated identification Signal processing Fatigue crack |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |