Due to the difficulty in determining the default dimension K value and selecting effective modal components in VMD(Variational Mode Decomposition), a method combining CCS(Corrected Cosine Similarity) with VMD is proposed. First, the original signal is decomposed by the VMD algorithm into K IMFs( Intrinsic Mode Functions) with different characteristic time scales. Then, the CCS method is used to determine the preset scale K and identify effective modal components, followed by signal reconstruction using these components. This method is applied to pipeline leakage signal denoising. Simulation experiments and actual leakage signal processing demonstrate that the VMD_CCS algorithm can accurately determine the preset scale K value and select effective modal components, effectively improving the denoising performance of pipeline leakage signals.

variational mode decomposition ( VMD ) algorithm, corrected cosine similarity, pipeline leak, denoising