陈阳阳,朱志松,郭东军,严晓照.基于声发射信号的钢桶泄漏检测[J].包装工程,2014,35(15):67-70,76.
CHEN Yang-yang,ZHU Zhi-song,GUO Dong-jun,YAN Xiao-zhao.Drum Leak Detection Based on Acoustic Emission Signal[J].Packaging Engineering,2014,35(15):67-70,76. |
| 基于声发射信号的钢桶泄漏检测 |
| Drum Leak Detection Based on Acoustic Emission Signal |
| 投稿时间：2014-04-02 修订日期：2014-08-01 |
| DOI： |
| 中文关键词: 钢桶泄漏 声发射 小波包能量 支持向量机 |
| 英文关键词: drums leak acoustic emission wavelet packet energy support vector machine |
| 基金项目: |
|
| 摘要点击次数: |
| 全文下载次数: |
| 中文摘要: |
| 目的 研究基于声发射信号的钢桶泄漏检测方法。 方法 利用声发射传感器、前置放大器、采集卡和计算机搭建采集系统， 分析漏孔直径为 0.2 mm和无泄漏状况下泄漏频率特点。 对采集的声发射信号采用小波包分解， 提取了泄漏信号的 3 个特征频段（16 ~ 30 kHz， 33 ~ 47 kHz， 95 ~ 102 kHz）的能量特征， 将其作为支持向量机的输入特征向量， 对已经训练好的支持向量机进行测试， 判断钢桶是否泄漏。 结果 经试验测试， 判断准确率达 100%。 结论 通过小波包能量与支持向量机相结合的方法，可以成功地对直径 0.2 mm及以上漏孔的钢桶泄漏进行检测。 |
| 英文摘要: |
| Objective To study methods of drum leak detection based on acoustic emission signal. Methods Acoustic emission sensors, preamplifiers, capture cards and computer were used to set up collection systems; the characteristics of leakage frequency was analyzed under conditions of drain hole diameter of 0.2 mm and no leakage; wavelet packet was used to decompose the acoustic emission signals collected, and the energy characteristics of three features bands (16 ~ 30 kHz, 33 ~ 47 kHz, 95 ~ 102 kHz) of the acoustic emission signals were extracted; the energy characteristics was used as the input feature vector of the support vector machine, and the trained support vector machines were finally used to test whether there was a drum leakage. Results The accuracy rate of the test was 100%. Conclusion Combining the acoustic emission signals of wavelet packet energy and support vector machine method, drum leakage with a diameter of 0.2 mm and above was successfully tested. |
|
查看全文
查看/发表评论 下载PDF阅读器 |
| 关闭 |
|
|
|
渝公网安备 50010702501716号