Abstract
Aiming at the problem that the blasting vibration signal contains trend items and noise interference, a signal processing method based on the Fourier decomposition method (FDM) is introduced. Firstly, based on the FDM theory, the original blasting vibration signal is decomposed to obtain several modal components; then, the dominant component of the signal is filtered according to the dominant frequency of the modal component and its correlation with the original signal; finally, the dominant component is reconstructed to remove the trend item and noise at the same time; spectrum analysis is carried out to verify the effectiveness of the method. The results show that FDM can effectively disperse low-frequency trend items, high-frequency noise, and useful signal information while decomposing signals containing trend terms and noise; compared with the existing common methods, it can more effectively retain the original information, which provides a reference for the trend item and noise removal of similar blasting vibration signals.
Highlights
While constructing mountainous tunnels using drilling and blasting methods, there will be a destructive impact on the surrounding environment, so controlling the hazards caused by blasting is critical
In order to extract the detailed features of the signal more accurately, the EEMD method [6] and the VMD method [7] have been successively used in the removal of the trend term of the blasting vibration signal
Erefore, this paper introduces an Fourier decomposition method (FDM)-based method of removing blasting vibration signal trend item and noise
Summary
While constructing mountainous tunnels using drilling and blasting methods, there will be a destructive impact on the surrounding environment, so controlling the hazards caused by blasting is critical. Due to the abrupt and instantaneous nature of blasting, the blasting vibration signal appears as a typical nonlinear and nonstationary signal To deal with this type of signal problem, a wide range of analysis methods, including the EMD (empirical mode decomposition) method [1], EEMD (ensemble empirical mode decomposition) method [2], CEEMD (complete ensemble empirical mode decomposition) method [3], CEEMDAN (complete ensemble empirical mode decomposition with adaptive noise) method [4], and VMD (variational mode decomposition) method [5], were developed. Simultaneously removing the trend items and noise interference contained in blasting vibration signals has become a research hotspot. Erefore, this paper introduces an FDM-based method of removing blasting vibration signal trend item and noise. The dominant component obtained from the screening is reconstructed to obtain a pure signal
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