Improved VMD-based Noise Reduction Algorithm for Pipeline Acoustic Emission Signals
An improved signal denoising algorithm based on enhanced variational mode decomposition(VMD)to address the denoising of low signal-to-noise ratio pipeline acoustic emission signals was proposed.Firstly,the ant colony optimization(ACO)was introduced to optimize two key parameters in VMD,the penalty factor,and the number of mode decompositions,thereby finding the effective intrinsic mode function IMF with noise.Secondly,wavelet thresholding function was used to denoise the local weak correlation IMFs,effectively retaining the weak effective information in the background of strong noise,and redu-cing the signal error and the calculation amount.Finally,the denoised signal was reconstructed by combining the wavelet-thresh-older IMFs with strongly correlated IMFs.The experimental results are verified by simulation and measured signals.Experimental results show that the proposed algorithm significantly improves the signal to noise ratio,showing good performance in the pipeline acoustic emission signal denoising.
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