基于声发射信号的钢桶泄漏检测

Drum Leak Detection Based on Acoustic Emission Signal

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0.2mm及以上漏孔的钢桶泄漏进行检测。

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 nun and above was successfully tested.