Study on Denoising Method of Vibration Signal Induced by Tunnel Portal Blasting Based on WOA-VMD Algorithm
Because of the impact of the complex environment of tunnel portals, the measured blasting vibration signals in a tunnel portal contains a lot of high-frequency noise. To achieve effective noise reduction, a novel method of noise reduction for blasting vibration signals based on the whale optimizatio...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/13/5/3322 |
| _version_ | 1797615639951572992 |
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| author | Ze Liu Yaxiong Peng |
| author_facet | Ze Liu Yaxiong Peng |
| author_sort | Ze Liu |
| collection | DOAJ |
| description | Because of the impact of the complex environment of tunnel portals, the measured blasting vibration signals in a tunnel portal contains a lot of high-frequency noise. To achieve effective noise reduction, a novel method of noise reduction for blasting vibration signals based on the whale optimization algorithm (WOA) optimized with the variational mode decomposition (VMD) algorithm was proposed. The WOA algorithm is used to optimize globally for the mode number <i>K</i> and penalty factor <i>α</i> of VMD for measured signals and to determine the optimal parameters of [<i>K</i>, <i>α</i>], and to obtain the intrinsic mode function (IMF). Multi-scale permutation entropy (MPE) was used to identify and remove noise components in IMF, and then the reserved IMF was reconstructed to achieve a denoised signal. The method is applied to the blasting vibration analysis of the Xiali tunnel of the Jixin expressway in the Henan Province. Results indicate that the novel method can acquire the optimal decomposition mode number and identify the high frequency noise. Its denoising effect is better than the conventional VMD algorithm and the complete ensemble empirical mode decomposition with adaptive ability (CEEMDAN), which verifies the self-adaptivity and effectiveness of the WOA-VMD denoising method. |
| first_indexed | 2024-03-11T07:29:33Z |
| format | Article |
| id | doaj.art-36be9d08b4a345268130c6086b141ed0 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-11T07:29:33Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-36be9d08b4a345268130c6086b141ed02023-11-17T07:22:16ZengMDPI AGApplied Sciences2076-34172023-03-01135332210.3390/app13053322Study on Denoising Method of Vibration Signal Induced by Tunnel Portal Blasting Based on WOA-VMD AlgorithmZe Liu0Yaxiong Peng1Hunan Provincial Key Laboratory of Geotechnical Engineering for Stability Control and Health Monitoring, School of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaHunan Provincial Key Laboratory of Geotechnical Engineering for Stability Control and Health Monitoring, School of Civil Engineering, Hunan University of Science and Technology, Xiangtan 411201, ChinaBecause of the impact of the complex environment of tunnel portals, the measured blasting vibration signals in a tunnel portal contains a lot of high-frequency noise. To achieve effective noise reduction, a novel method of noise reduction for blasting vibration signals based on the whale optimization algorithm (WOA) optimized with the variational mode decomposition (VMD) algorithm was proposed. The WOA algorithm is used to optimize globally for the mode number <i>K</i> and penalty factor <i>α</i> of VMD for measured signals and to determine the optimal parameters of [<i>K</i>, <i>α</i>], and to obtain the intrinsic mode function (IMF). Multi-scale permutation entropy (MPE) was used to identify and remove noise components in IMF, and then the reserved IMF was reconstructed to achieve a denoised signal. The method is applied to the blasting vibration analysis of the Xiali tunnel of the Jixin expressway in the Henan Province. Results indicate that the novel method can acquire the optimal decomposition mode number and identify the high frequency noise. Its denoising effect is better than the conventional VMD algorithm and the complete ensemble empirical mode decomposition with adaptive ability (CEEMDAN), which verifies the self-adaptivity and effectiveness of the WOA-VMD denoising method.https://www.mdpi.com/2076-3417/13/5/3322tunnel portalblasting vibrationdenoising methodwhale optimization algorithmvariational mode decomposition algorithm |
| spellingShingle | Ze Liu Yaxiong Peng Study on Denoising Method of Vibration Signal Induced by Tunnel Portal Blasting Based on WOA-VMD Algorithm Applied Sciences tunnel portal blasting vibration denoising method whale optimization algorithm variational mode decomposition algorithm |
| title | Study on Denoising Method of Vibration Signal Induced by Tunnel Portal Blasting Based on WOA-VMD Algorithm |
| title_full | Study on Denoising Method of Vibration Signal Induced by Tunnel Portal Blasting Based on WOA-VMD Algorithm |
| title_fullStr | Study on Denoising Method of Vibration Signal Induced by Tunnel Portal Blasting Based on WOA-VMD Algorithm |
| title_full_unstemmed | Study on Denoising Method of Vibration Signal Induced by Tunnel Portal Blasting Based on WOA-VMD Algorithm |
| title_short | Study on Denoising Method of Vibration Signal Induced by Tunnel Portal Blasting Based on WOA-VMD Algorithm |
| title_sort | study on denoising method of vibration signal induced by tunnel portal blasting based on woa vmd algorithm |
| topic | tunnel portal blasting vibration denoising method whale optimization algorithm variational mode decomposition algorithm |
| url | https://www.mdpi.com/2076-3417/13/5/3322 |
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