A Novel Denoising Model of Underwater Drilling and Blasting Vibration Signal Based on CEEMDAN

摘要

In underwater drilling and blasting engineering, the blasting vibration signal is mixed with a mass of noises due to thecomplexity of monitoring environment, the error of monitoring sensors and the reflection of propagation medium. In orderto accurately obtain the characteristics of vibration signal, a novel denoising model is established. The complete ensembleempirical mode decomposition with adaptive noise is used to decompose the original signal, and the objective function ofthe filtering algorithm is used to obtain the optimal denoising signal. The results indicate that the model can not only successfullyremove the high-frequency noise but also has no effect on the low-frequency signal components, which verifiesthe reliability and validity of the denoising model.