The Removal Method of the Blasting Vibration Signal Trend Item and Noise

Autor: Hailong Wang, Haobo Bai, Yan Zhao, Dongsheng Wang, Xiaojing Wang, Shenghua Wang
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Shock and Vibration, Vol 2021 (2021)
Druh dokumentu: article
ISSN: 1070-9622
1875-9203
DOI: 10.1155/2021/1645380
Popis: 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.
Databáze: Directory of Open Access Journals
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