小波变换在输油管道漏油实时监测中的应用

The Applications of Wavelet Transform in Oil Leakage Online Detection

在输油管道漏油监测系统中,如何将测量到的应力波信号进行处理,对人为打孔漏油的信号特征和模式进行识别,是 决定检测准确度的关键。介绍了防盗定位实时监测系统的基本方案以及用于信号处理的小波变换方法,重点讨论了利用信号 小波系数与信号奇异性关系进行去噪的方法,给出了一个去噪实例。进行了现场验证试验,结果表明,该法可以很好地去除噪 声,提高了系统检测的准确度。

How to analyse the measured stress wave signal for an oil leakage monitoring system to get the features and the modes of man made leakages is the key problem for accurate detection. It introduces the principal scheme of the leakage detection system as well as a wavelet transform method for signal processing. Signal de-noising approaches are discussed by taking use of the relations between the signal's wavelet coefficients and its singularity, and an example is given for the method. Field experiments are carried out for validation, which show that a majority of noises are eliminated and the system detection accuracy is improved.