基于时频峰值滤波的管道泄漏定位算法

Algorithm for pipeline leakage location based on time-frequency peak filtering

针对环境噪声给基于压力波的管道泄漏定位算法带来的负面影响,提出了一种基于时频峰值滤波的压力波噪声抑制方法,并将该滤波算法与基于压力差衰减的定位算法相结合,达到对管道泄漏精准定位的目的。首先,对实际管道泄漏时的压力数据进行功率谱估计,根据其能量分布得到该信号的频率范围。然后,通过采样频率和截止频率确定时频峰值滤波中时频窗的最大值,并进一步分析采用不同时频窗长时噪声的压制效果,根据去噪效果选取适合管道泄漏压力数据的最佳窗长。实际实验证明,结合最佳窗长的时频峰值滤波的去噪效果优于小波变换算法和经验模态分解算法,同时,基于时频峰值滤波的管道泄漏定位算法定位精度也最高。

Aiming at the negative impact of environmental noise on pipeline leakage localization algorithm based on pressure wave,this paper proposes a pressure wave noise suppression method based on time-frequency peak filtering,and combines this method with the location algorithm based on the attenuation of pressure difference,so as to achieve the purpose of precise location of pipeline leakage. Firstly,the actual pressure data of pipeline leakage is estimated by power spectrum,and the cut-off frequency of pipeline leakage pressure data is obtained according to the energy distribution. Then,the maximum window value of Time-Frequency Peak Filter(TFPF)is determined through sampling frequency and cut-off frequency. The noise suppression effects of different window lengths are further analyzed,and the optimal window length is selected. The experimental results show that the denoising effect using TFPF is better than wavelet packet transform and empirical mode decomposition before and after leakage. At the same time,the location error of pipeline leakage using TFPF is alsothesmallest.