A Method Combining Fractal Analysis and Single Channel ICA for Vibration Noise Reduction
| Autor: | Mei Li, Quanbo Lu |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
0209 industrial biotechnology
Article Subject Computer science QC1-999 Noise reduction 0206 medical engineering 02 engineering and technology Fractal dimension Signal 020901 industrial engineering & automation Component analysis Component (UML) Civil and Structural Engineering business.industry Noise (signal processing) Physics Mechanical Engineering Pattern recognition Geotechnical Engineering and Engineering Geology Condensed Matter Physics 020601 biomedical engineering Fractal analysis Vibration Mechanics of Materials Artificial intelligence business |
| Zdroj: | Shock and Vibration, Vol 2021 (2021) |
| ISSN: | 1875-9203 1070-9622 |
| DOI: | 10.1155/2021/5583587 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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