A Boosted Wavelet Improvement Thresholding Algorithm Based on Birgé- Massart Strategy for Pipeline Leakage Signal Noise Reduction Processing
Jianfeng Gao, Bingjian Ai, Bin Hao, Bingang Guo, Yu Zheng · 2022 4th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP) · 2022
This paper investigates the negative pressure waves generated when the pipeline leaks based on the negative pressure wave localization method, adopts a boosted wavelet transform method that does not depend on the Fourier transform, selects the noise reduction threshold based on the Birgé-Massart strategy, introduces a soft and hard threshold compromise noise reduction algorithm to process the noise-containing signals, and finally uses the negative pressure waves collected from field experiments to test and apply the above algorithm, and compares the effect and error analysis with the traditional soft threshold method and hard threshold method. The results show that the denoising effect and the root mean square error after signal processing of the algorithm established in this paper are better than the traditional algorithms, and have good application value in pipeline leakage signal noise reduction.