A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction
Aiming at the problem that real engineering vibration signals are interfered by strong noise, this paper proposes a method combining single channel-independent component analysis (SCICA) and fractal analysis (FD) to reduce the effect of noise on the time-frequency analysis of vibration signals. Firs...
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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/10.1155/2021/5583587 |
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| _version_ | 1832552497916411904 |
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| author | Quanbo Lu Mei Li |
| author_facet | Quanbo Lu Mei Li |
| author_sort | Quanbo Lu |
| collection | DOAJ |
| description | Aiming at the problem that real engineering vibration signals are interfered by strong noise, this paper proposes a method combining single channel-independent component analysis (SCICA) and fractal analysis (FD) to reduce the effect of noise on the time-frequency analysis of vibration signals. First, phase space reconstruction is performed on the vibration signal to make the proper input for ICA algorithm. The original is then decomposed into several component signals. The fractal dimension of each component signals is calculated to determine whether the signal should be considered noise. Noisy component signals are then processed by wavelet denoising. Finally, the output signal after noise reduction is reconstructed using the filtered “right” component signals. This paper uses the method to analyze real noisy vibration signal. Experimental results show the effectiveness of the proposed method. |
| format | Article |
| id | doaj-art-4e3e4add956149f3baa821d48b70724f |
| 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-4e3e4add956149f3baa821d48b70724f2025-02-03T05:58:29ZengWileyShock and Vibration1070-96221875-92032021-01-01202110.1155/2021/55835875583587A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise ReductionQuanbo Lu0Mei Li1School of Information Engineering, China University of Geosciences, Beijing 100083, ChinaSchool of Information Engineering, China University of Geosciences, Beijing 100083, ChinaAiming at the problem that real engineering vibration signals are interfered by strong noise, this paper proposes a method combining single channel-independent component analysis (SCICA) and fractal analysis (FD) to reduce the effect of noise on the time-frequency analysis of vibration signals. First, phase space reconstruction is performed on the vibration signal to make the proper input for ICA algorithm. The original is then decomposed into several component signals. The fractal dimension of each component signals is calculated to determine whether the signal should be considered noise. Noisy component signals are then processed by wavelet denoising. Finally, the output signal after noise reduction is reconstructed using the filtered “right” component signals. This paper uses the method to analyze real noisy vibration signal. Experimental results show the effectiveness of the proposed method.http://dx.doi.org/10.1155/2021/5583587 |
| spellingShingle | Quanbo Lu Mei Li A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction Shock and Vibration |
| title | A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction |
| title_full | A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction |
| title_fullStr | A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction |
| title_full_unstemmed | A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction |
| title_short | A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction |
| title_sort | method combining fractal analysis and single channel ica for vibration noise reduction |
| url | http://dx.doi.org/10.1155/2021/5583587 |
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