小波包分解与能量特征提取相结合的水管泄漏位置的确定

Detection of Water Pipe Leak Location Using Wavelet Packet Decomposition and Power Feature Extraction

针对水管泄漏定位的方法———直接相关法受到噪声和声传播方式的影响,定位精度低,提出了一种基于小波包分解与能量特征提取相结合的水管泄漏定位。该方法首先用声学传感器采集数据,然后通过小波包分解将其分为不同的频段,再基于能量特征的提取选出有用的频段作互相关分析,最后通过比较相关系数来确定泄漏位置。通过仿真和实际实验的分析,本文提出的方法消除了直接相关法的缺点,提高了定位精度,是有效的。

Aimed at overcoming the disadvantages of direct cross-correlation method to pinpoint the leak point, a method based on wavelet packet decomposition and power feature extraction was put forward to locate the leak point. The data were sampled by acoustic emission sensors, and was decomposed into a series of frequency bands. A few useful frequency bands were selected by power feature extraction, and the leak point was determined by comparing the correlation coefficient. Simulation and practical experiments indicated that the method presented in this paper eliminates the disadvantages of direct cross-correlation, improves the precision of location and is effective.