Considering that the noise in the pipeline seriously affects the accuracy of leakage detection, this paper proposes a new denoising method (EMD-BD-WT) that combines Empirical Mode Decomposition (EMD), the improved Bhattacharyya distance (BD) and wavelet transform (WT). BD is first designed to measure the distance between the probability contribution function (PCF) and the normalization function (NF) to select the effective modes. Then WT is used to process the non-effective modes. Finally, the selected effective modes and the non-effective modes after wavelet processing are used to construct the filtered signal. The theoretical analysis, simulation experiments and filtering results of the actual natural gas pipeline leakage signal show that compared with other EMD-based filtering methods, the proposed method has superior performance.

考虑到管道中的噪声严重影响泄漏检测的准确性，本文提出了一种新的去噪方法（EMD-BD-WT），它结合了经验模态分解（EMD）、改进的Bhattacharyya距离（BD）和小波变换（WT）。 ）。BD 首先设计用于测量概率贡献函数 (PCF) 和归一化函数 (NF) 之间的距离以选择有效模式。然后使用 WT 处理无效模式。最后，利用小波处理后选择的有效模式和无效模式构建滤波后的信号。对实际天然气管道泄漏信号的理论分析、仿真实验和滤波结果表明，与其他基于EMD的滤波方法相比，该方法具有优越的性能。