Applications of an improved EMD method in signal denoising of oil pipeline

The long-distance pipeline leakage signal is disturbed by the outside world and the signal-to-noise ratio is low. It needs to deal with the leaking signal to improve the detection precision of pipeline leakage. In this paper, the advantages and disadvantages of several common denoising methods are analyzed. Emphasis is placed on the analysis of empirical mode decomposition (EMD). In order to solve the problem of end effect, the EMD algorithm of the nearest similar distance is analyzed and validated with the data collected in the field. The denoising results show that the proposed algorithm can effectively suppress the end effect in denoising decomposition, suppress the random noise in the leakage signal, and improve the signal — to — noise ratio of the pipeline monitoring signal.