Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis
Structural vibration analysis often involves evaluating power spectral density to understand vibration processes. However, these spectra typically include overlapping vibration modes, complicating the analysis of individual components. This study presents a method to separate vibration modes into di...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SAGE Publishing
2025-09-01
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| Series: | Journal of Low Frequency Noise, Vibration and Active Control |
| Online Access: | https://doi.org/10.1177/14613484251320234 |
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| _version_ | 1849735262951702528 |
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| author | Thanh Q Nguyen Dong Phuong Nguyen Phuoc T Nguyen Thuy T Nguyen |
| author_facet | Thanh Q Nguyen Dong Phuong Nguyen Phuoc T Nguyen Thuy T Nguyen |
| author_sort | Thanh Q Nguyen |
| collection | DOAJ |
| description | Structural vibration analysis often involves evaluating power spectral density to understand vibration processes. However, these spectra typically include overlapping vibration modes, complicating the analysis of individual components. This study presents a method to separate vibration modes into distinct components, simplifying structural vibration analysis. By combining maximal overlap discrete wavelet transform with fast Fourier transform, the composite vibration signal is decomposed into frequency-specific components. This approach enables precise analysis of individual vibration modes, facilitating the detection of those most sensitive to structural changes. Furthermore, the method effectively removes noise and irrelevant vibrations, enhancing the accuracy and reliability of structural evaluations. |
| format | Article |
| id | doaj-art-dd75052972234c56aecf9dcbe5f2e4d5 |
| institution | DOAJ |
| issn | 1461-3484 2048-4046 |
| language | English |
| publishDate | 2025-09-01 |
| publisher | SAGE Publishing |
| record_format | Article |
| series | Journal of Low Frequency Noise, Vibration and Active Control |
| spelling | doaj-art-dd75052972234c56aecf9dcbe5f2e4d52025-08-20T03:07:35ZengSAGE PublishingJournal of Low Frequency Noise, Vibration and Active Control1461-34842048-40462025-09-014410.1177/14613484251320234Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysisThanh Q NguyenDong Phuong NguyenPhuoc T NguyenThuy T NguyenStructural vibration analysis often involves evaluating power spectral density to understand vibration processes. However, these spectra typically include overlapping vibration modes, complicating the analysis of individual components. This study presents a method to separate vibration modes into distinct components, simplifying structural vibration analysis. By combining maximal overlap discrete wavelet transform with fast Fourier transform, the composite vibration signal is decomposed into frequency-specific components. This approach enables precise analysis of individual vibration modes, facilitating the detection of those most sensitive to structural changes. Furthermore, the method effectively removes noise and irrelevant vibrations, enhancing the accuracy and reliability of structural evaluations.https://doi.org/10.1177/14613484251320234 |
| spellingShingle | Thanh Q Nguyen Dong Phuong Nguyen Phuoc T Nguyen Thuy T Nguyen Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis Journal of Low Frequency Noise, Vibration and Active Control |
| title | Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis |
| title_full | Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis |
| title_fullStr | Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis |
| title_full_unstemmed | Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis |
| title_short | Enhanced structural damage detection through combined MODWT and FFT for power spectral density separation in beam vibration analysis |
| title_sort | enhanced structural damage detection through combined modwt and fft for power spectral density separation in beam vibration analysis |
| url | https://doi.org/10.1177/14613484251320234 |
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