第二代小波降噪在燃气管道泄漏检测中的应用

Application of Second Generation Wavelet Denoising in Gas Pipeline Leak Detection

针对燃气管道泄漏检测信号面临的噪声干扰问题,本文运用第二代小波变换原理并结合插值细分方法,构造预测算子和更新算子,通过对燃气管道介质音波信号预处理,提取到音波低频特征较明显的有用信号,实现了对背景噪声有效的降噪处理,提高了音波的信噪比,为后续泄漏识别奠定了基础.

To solve noise from gas pipeline leak detection, the prediction operator and update operator are constructed according to the principle of second generation wavelet transform combined with interpolation subdivision scheme. Based on preprocessing of gas pipeline medium sonic signal, the useful signal marked low frequency is extracted, the effective denoising to the background of noise is achieved and the signal-to-noise ratio is improved. Therefore it is the foundation to gas pipeline leak identification.