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.

在水下钻爆工程中，由于监测环境的复杂性，监测传感器的误差以及传播介质的反射，使爆破振动信号与大量噪声混合在一起。为了准确获得振动信号的特征，建立了一种新型的降噪模型。使用具有自适应噪声的完整的集合经验模式分解来分解原始信号，并使用滤波算法的目标函数来获得最佳去噪信号。结果表明，该模型不仅可以成功去除高频噪声，而且对低频信号分量没有影响，验证了去噪模型的可靠性和有效性。