Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm
Abstract Monitoring of blasting vibration signals can make the collected blasting signals noisy due to various factors such as on-site actual construction conditions, equipment, and instruments. Thus, the acquired signals should be preprocessed before analyzing the blasting vibration signals. The cu...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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Nature Portfolio
2023-11-01
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| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-023-47755-9 |
| _version_ | 1797415297044447232 |
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| author | Bai Wenjun Chang Yingjie |
| author_facet | Bai Wenjun Chang Yingjie |
| author_sort | Bai Wenjun |
| collection | DOAJ |
| description | Abstract Monitoring of blasting vibration signals can make the collected blasting signals noisy due to various factors such as on-site actual construction conditions, equipment, and instruments. Thus, the acquired signals should be preprocessed before analyzing the blasting vibration signals. The current study proposes a blasting vibration denoising method based on CEEMDAN-ICA to alleviate the noise component in the blasting signals effectively. The collected signal is first decomposed through the CEMMDAN algorithm to extract the IMF components of different frequency bands. Next, the collected signal is estimated using the ICA algorithm to attain corresponding ICA components. Finally, the arrangement entropy of the ICA components is calculated for signal reconstruction to attain a small noise blasting vibration signal. Simulations are performed to evaluate the feasibility of the presented algorithm and compare its efficiency with the traditional algorithms. The results demonstrate that this algorithm has specific advantages over other algorithms, which can more accurately denoise the original signal and retain the effective signals, providing a new denoising method for subsequent signal analysis. |
| first_indexed | 2024-03-09T05:45:42Z |
| format | Article |
| id | doaj.art-fd29c97999204636b0f393bba5ca35ed |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-03-09T05:45:42Z |
| publishDate | 2023-11-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-fd29c97999204636b0f393bba5ca35ed2023-12-03T12:21:26ZengNature PortfolioScientific Reports2045-23222023-11-0113111410.1038/s41598-023-47755-9Denoising of blasting vibration signals based on CEEMDAN-ICA algorithmBai Wenjun0Chang Yingjie1Shaanxi Provincial Land Engineering Construction Group Northwest BranchShaanxi Provincial Land Engineering Construction Group Northwest BranchAbstract Monitoring of blasting vibration signals can make the collected blasting signals noisy due to various factors such as on-site actual construction conditions, equipment, and instruments. Thus, the acquired signals should be preprocessed before analyzing the blasting vibration signals. The current study proposes a blasting vibration denoising method based on CEEMDAN-ICA to alleviate the noise component in the blasting signals effectively. The collected signal is first decomposed through the CEMMDAN algorithm to extract the IMF components of different frequency bands. Next, the collected signal is estimated using the ICA algorithm to attain corresponding ICA components. Finally, the arrangement entropy of the ICA components is calculated for signal reconstruction to attain a small noise blasting vibration signal. Simulations are performed to evaluate the feasibility of the presented algorithm and compare its efficiency with the traditional algorithms. The results demonstrate that this algorithm has specific advantages over other algorithms, which can more accurately denoise the original signal and retain the effective signals, providing a new denoising method for subsequent signal analysis.https://doi.org/10.1038/s41598-023-47755-9 |
| spellingShingle | Bai Wenjun Chang Yingjie Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm Scientific Reports |
| title | Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm |
| title_full | Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm |
| title_fullStr | Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm |
| title_full_unstemmed | Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm |
| title_short | Denoising of blasting vibration signals based on CEEMDAN-ICA algorithm |
| title_sort | denoising of blasting vibration signals based on ceemdan ica algorithm |
| url | https://doi.org/10.1038/s41598-023-47755-9 |
| work_keys_str_mv | AT baiwenjun denoisingofblastingvibrationsignalsbasedonceemdanicaalgorithm AT changyingjie denoisingofblastingvibrationsignalsbasedonceemdanicaalgorithm |