基于VMD改进算法的气体管道泄漏检测

为提取气体管道声波信号中的泄漏成分并进行重构，提出一种结合VMD( VMD: Variational Mode Decomposition) 和误差能量算法的特征提取方法。该方法首先利用油气管道泄漏检测系统模拟气体管道的微小泄漏，并采集泄漏声波信号; 然后利用VMD 算法将采集到的泄漏声波信号分解为一系列带宽受限的固有模态;随后，使用误差能量算法选择有效模态; 最后，利用有效模态进行信号重构。通过仿真分析发现，该改进算法可以提取有效模态，利用该方法处理气体管道微小泄漏声波信号，能有效滤除噪声并重构原始信号。

Gas Pipeline Leak Detection Based on Improved VMD Algorithm

In gas pipeline leak detection，small leaks are most difficult to detect． And the main difficulties are noise reduction and feature extraction． VMD ( Variational Mode Decomposition ) is an adaptive signal decomposition algorithm with good anti-noise performance and the ability to extract the center frequency of the signal． A VMD improved algorithm is used to detect small leaks． The error energy algorithm is used to screen the IMF of the signal after the variational mode decomposition to obtain the final reconstructed signal． In order to extract the leakage components in the acoustic signal of gas pipeline，a feature extraction method combining VMD and error energy algorithm is proposed． Firstly use this method to decompose the original signal into a series of bandwidth-limited natural modes; then use the error energy algorithm to select the useful mode; finally，use the selected mode to perform signal reconstruction． The experimental results show that the method can effectively filter out the noise in the small leakage signal and effectively reconstruct the original signal．