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油气管道泄漏会造成严重危害,因此,亟需寻找一种能快速检测油气管道泄露信号的技术。传统的傅里叶变换是一种全局变换,无法描述信号的局部特征,而小波变换具有多分辨率和时频局域化的特点,可以用来进行信号的异常点检测。本文首先介绍了小波变换的基本原理,然后通过模型实验验证了该方法的有效性,最后利用小波变换对一段实际油气管道信号进行检测,发现小波变换对油气管道泄露检测具有良好的效果。
Oil and gas pipeline leakage can cause serious harm, therefore, there is an urgent need to find a technology that can quickly detect oil and gas pipeline leak signals. The traditional Fourier transform is a kind of global transformation, which can not describe the local features of the signal. The wavelet transform has the characteristics of multi-resolution and time-frequency localization and can be used to detect the abnormal point of the signal. In this paper, the basic principle of wavelet transform is introduced. Then the validity of the method is verified through the model experiment. Finally, wavelet transform is used to detect the signal of a real oil-gas pipeline. It is found that the wavelet transform has good effect on oil-gas pipeline leak detection.