改进小波阈值函数在管道泄漏信号处理中的应用

Application of Improved Wavelet Threshold Function in Pipeline Leakage Signal Processing

在实际应用的环境下,天然气管道中存在的噪声会影响泄漏信号的有效提取,为了能够提高泄漏检测系统的灵敏度,需要提升信号去噪的效果。在对硬阈值函数、软阈值函数和Garrote阈值函数对比分析的基础上,提出了一种改进的小波阈值函数。通过MATLAB仿真对比实验,验证了改进的小波阈值算法的优越性,该函数能够有效的滤除管道泄漏信号中的噪声,并且在更大程度上保留原始信号的特征信息。

In the practical application environment, the noise in the natural gas pipeline affects the effective extraction of the leakage signal. In order to improve the sensitivity of the leak detection system, it is needed to improve the signal denoising effect. After studying the basic principle of wavelet denoising, an improved wavelet threshold function is proposed based on the hard threshold function, the soft threshold function and the Garrote threshold function. Through the MATLAB simulation experiments to verify the superiority of the improved wavelet threshold algorithm, the function can effectively remove the pipeline leakage signal in the noise, and to remain the characteristic information of the original signal in a greater degree.