1. A Novel Denoising Model of Underwater Drilling and Blasting Vibration Signal Based on CEEMDAN
- Author
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Yunsi Liu, Li Wu, Yaxiong Peng, and Chao Zhang
- Subjects
Multidisciplinary ,Computer science ,Noise (signal processing) ,Acoustics ,Noise reduction ,010102 general mathematics ,01 natural sciences ,Signal ,Hilbert–Huang transform ,Vibration ,Reflection (physics) ,Drilling and blasting ,0101 mathematics ,Underwater - Abstract
In underwater drilling and blasting engineering, the blasting vibration signal is mixed with a mass of noises due to the complexity of monitoring environment, the error of monitoring sensors and the reflection of propagation medium. In order to accurately obtain the characteristics of vibration signal, a novel denoising model is established. The complete ensemble empirical mode decomposition with adaptive noise is used to decompose the original signal, and the objective function of the filtering algorithm is used to obtain the optimal denoising signal. The results indicate that the model can not only successfully remove the high-frequency noise but also has no effect on the low-frequency signal components, which verifies the reliability and validity of the denoising model.
- Published
- 2021
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