Research on pipeline signal noise reduction method based on improved INGO-VMD

This is the authors' abstract. We don't add key points for this paper.

Due to the complex working environment of the pipeline, the collected pipeline signals contain a lot of noise signals, which seriously affects the extraction of pipeline signals. A denoising method based on improved INGO-VMD joint energy entropy in this paper. First of all, The VMD parameters were optimized by the improved Northern Goshawk algorithm , then a variational mode decomposition is carried out on the noisy signal. Finally, the boundary line between noise and signal is determined according to energy entropy, and the signal is reconstructed to the denoised signal is obtained. The results can see the proposed method has the highest signal-to-noise ratio (SNR) of 24.22dB. The RMSE error is the lowest, 0.079. It is proved that the method not only can filter noise signal, but also has better noise reduction effect and stability.