Pipeline leakage location based on NLM-EMD and FCM-second correlation

Abstract

The positioning accuracy of pipeline leakage mainly depends on denoising effect and time delay estimation performance. In view of the problem of poor positioning accuracy of current pipeline leak, Non-Local Means-Empirical Mode Decomposition(NLM-EMD) autocorrelation method for denoising and Fuzzy C-Means clustering(FCM)-second correlation method for adaptive time delay estimation are proposed. NLM is used for noise reduction pretreatment, and the signal is recombined and de-noised according to autocorrelation criterion of EMD, then FCM is used to adaptively extract the pressure drop signal with higher correlation, and second correlation can estimate the delay of the signal. The results show that NLM-EMD autocorrelation method can effectively reduce noise interference and improve the decomposition quality of EMD, FCM-second correlation method can enhance the correlation of the two leakage signals, and the positioning accuracy is improved by 0.817% compared with the direct second correlation.

Keywords

• pipeline leakage location
• non-local means
• empirical mode decomposition
• fuzzy C-means clustering
• second correlation