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。

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.