The Removal Method of the Blasting Vibration Signal Trend Item and Noise
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 mod...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
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| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2021/1645380 |
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| _version_ | 1849411908179853312 |
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| author | Hailong Wang Haobo Bai Yan Zhao Dongsheng Wang Xiaojing Wang Shenghua Wang |
| author_facet | Hailong Wang Haobo Bai Yan Zhao Dongsheng Wang Xiaojing Wang Shenghua Wang |
| author_sort | Hailong Wang |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-599e43aa18844fd8aadbe64b6b9b3998 |
| institution | Kabale University |
| issn | 1070-9622 1875-9203 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-599e43aa18844fd8aadbe64b6b9b39982025-08-20T03:34:37ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/16453801645380The Removal Method of the Blasting Vibration Signal Trend Item and NoiseHailong Wang0Haobo Bai1Yan Zhao2Dongsheng Wang3Xiaojing Wang4Shenghua Wang5Hebei University of Architecture, Zhangjiakou 075000, ChinaHebei Key Laboratory of Diagnosis, Reconstruction and Anti-Disaster of Civil Engineering, Hebei Innovation Center of Transportation Infrastructure in Cold Region, Zhangjiakou 075000, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaSchool of Mechanics and Civil Engineering, China University of Mining and Technology (Beijing), Beijing 100083, ChinaBeiwang Construction Group Co Ltd, Chengde 067000, ChinaBeiwang Construction Group Co Ltd, Chengde 067000, ChinaAiming 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.http://dx.doi.org/10.1155/2021/1645380 |
| spellingShingle | Hailong Wang Haobo Bai Yan Zhao Dongsheng Wang Xiaojing Wang Shenghua Wang The Removal Method of the Blasting Vibration Signal Trend Item and Noise Shock and Vibration |
| title | The Removal Method of the Blasting Vibration Signal Trend Item and Noise |
| title_full | The Removal Method of the Blasting Vibration Signal Trend Item and Noise |
| title_fullStr | The Removal Method of the Blasting Vibration Signal Trend Item and Noise |
| title_full_unstemmed | The Removal Method of the Blasting Vibration Signal Trend Item and Noise |
| title_short | The Removal Method of the Blasting Vibration Signal Trend Item and Noise |
| title_sort | removal method of the blasting vibration signal trend item and noise |
| url | http://dx.doi.org/10.1155/2021/1645380 |
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