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

  • Research Article-Civil Engineering
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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.

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Abbreviations

IMF:

Intrinsic mode function

x(t):

Original signal

ε 0 :

Noise coefficient

r(t):

Residual component

n j(t):

White noises

x m :

mth sample point of original signal

\( \tilde{x}_{m} \) :

Mth sample point of denoised signal

MSEf :

Mean square error

u(x), v(x), f(x):

Smooth curves

h :

Sampling interval

SMSEf :

Mean square error of smoothness

F :

Objective function

μ :

Weight coefficient

ξ :

Signal-to-noise ratio

ε :

Mean absolute error

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Acknowledgement

This work was supported by the National Natural Science Foundation of China (Grant No. 41672260, 51704109), Natural Science Foundation of Hunan (Grant No. 2020JJ5163; 2020JJ4300) and Science Foundation of Hunan University of Science and Technology (Grant No. E51884).

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Authors and Affiliations

  1. Hunan Provincial Key Laboratory of Geotechnical Engineering for Stability Control and Health Monitoring, School of Civil Engineering, Hunan University of Science and Technology, Xiangtan, China

    Yaxiong Peng, Yunsi Liu & Chao Zhang

  2. Faculty of Engineering, China University of Geosciences, Wuhan, China

    Li Wu

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  1. Yaxiong Peng
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  2. Yunsi Liu
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  3. Chao Zhang
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  4. Li Wu
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Correspondence to Yaxiong Peng.

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Peng, Y., Liu, Y., Zhang, C. et al. A Novel Denoising Model of Underwater Drilling and Blasting Vibration Signal Based on CEEMDAN. Arab J Sci Eng 46, 4857–4865 (2021). https://doi.org/10.1007/s13369-020-05274-z

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  • DOI: https://doi.org/10.1007/s13369-020-05274-z

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