Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising
The precise detection of building vibration signals is a crucial problem for the identification of building vibration sources and characteristics. However, the building vibration signal is usually accompanied by complex high-frequency noise. The present study proposed a novel building vibration sign...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
|
| Series: | Shock and Vibration |
| Online Access: | http://dx.doi.org/10.1155/2022/8148337 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832567171932225536 |
|---|---|
| author | Xi Luo Shitu Abubakar |
| author_facet | Xi Luo Shitu Abubakar |
| author_sort | Xi Luo |
| collection | DOAJ |
| description | The precise detection of building vibration signals is a crucial problem for the identification of building vibration sources and characteristics. However, the building vibration signal is usually accompanied by complex high-frequency noise. The present study proposed a novel building vibration signal denoising method based on improved empirical modal decomposition coupled with interwoven Fourier decomposition (IEMD-IWFD). The noise-embed building vibration signal is first decomposed by the IEMD-IWFD. Then, the intrinsic mode function (IMF) components with useful information are extracted from the original building vibration signal using the energy criterion of the autocorrelation function. After that, the building vibration signal is formed by reconstructing the IMF component using the Hilbert transform. Based on the comparison of similarity coefficient and mean square error between the reconstructed signal from IEMD-IWFDM and EMD and target signal, it is indicated that the IEMD-IWFDM exhibits a better denoising performance for the simulated building vibration signal induced by trains. |
| format | Article |
| id | doaj-art-6372cceb48434585b3339aa244c7b95a |
| institution | Kabale University |
| issn | 1875-9203 |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Shock and Vibration |
| spelling | doaj-art-6372cceb48434585b3339aa244c7b95a2025-02-03T01:02:14ZengWileyShock and Vibration1875-92032022-01-01202210.1155/2022/8148337Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal DenoisingXi Luo0Shitu Abubakar1School of Architecture and ArtDepartment of Mechanical EngineeringThe precise detection of building vibration signals is a crucial problem for the identification of building vibration sources and characteristics. However, the building vibration signal is usually accompanied by complex high-frequency noise. The present study proposed a novel building vibration signal denoising method based on improved empirical modal decomposition coupled with interwoven Fourier decomposition (IEMD-IWFD). The noise-embed building vibration signal is first decomposed by the IEMD-IWFD. Then, the intrinsic mode function (IMF) components with useful information are extracted from the original building vibration signal using the energy criterion of the autocorrelation function. After that, the building vibration signal is formed by reconstructing the IMF component using the Hilbert transform. Based on the comparison of similarity coefficient and mean square error between the reconstructed signal from IEMD-IWFDM and EMD and target signal, it is indicated that the IEMD-IWFDM exhibits a better denoising performance for the simulated building vibration signal induced by trains.http://dx.doi.org/10.1155/2022/8148337 |
| spellingShingle | Xi Luo Shitu Abubakar Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising Shock and Vibration |
| title | Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising |
| title_full | Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising |
| title_fullStr | Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising |
| title_full_unstemmed | Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising |
| title_short | Improved Empirical Modal Decomposition Coupled with Interwoven Fourier Decomposition for Building Vibration Signal Denoising |
| title_sort | improved empirical modal decomposition coupled with interwoven fourier decomposition for building vibration signal denoising |
| url | http://dx.doi.org/10.1155/2022/8148337 |
| work_keys_str_mv | AT xiluo improvedempiricalmodaldecompositioncoupledwithinterwovenfourierdecompositionforbuildingvibrationsignaldenoising AT shituabubakar improvedempiricalmodaldecompositioncoupledwithinterwovenfourierdecompositionforbuildingvibrationsignaldenoising |