A denoising method for concrete cracking electromagnetic signals based on grey wolf optimized VMD-WT
In the moment of concrete cracking, electromagnetic signals are generated due to the oscillation of surface charges on the cracks. Aiming at the issue of electromagnetic signals being susceptible to environmental noise interference and having a low signal-to-noise ratio, this paper presents a denois...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Harbin Jinhe Electrical Measurement & Instrumentation Magazine Publishing Co., Ltd.
2025-02-01
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| Series: | Diance yu yibiao |
| Subjects: | |
| Online Access: | http://www.emijournal.net/dcyyben/ch/reader/create_pdf.aspx?file_no=20230921010&flag=1&journal_id=dcyyben&year_id=2025 |
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| Summary: | In the moment of concrete cracking, electromagnetic signals are generated due to the oscillation of surface charges on the cracks. Aiming at the issue of electromagnetic signals being susceptible to environmental noise interference and having a low signal-to-noise ratio, this paper presents a denoising method for electromagnetic signals generated during concrete cracking. A novel composite criterion is introduced as the optimization objective for the grey wolf algorithm (GWO). This criterion is used to determine the optimal number of modes and the penalty factor for variational mode decomposition (VMD). Subsequently, the original electromagnetic signal is decomposed, and suitable modes are selected based on the kurtosis criterion. Wavelet transform (WT) is employed to reconstruct the signal, resulting in a denoised electromagnetic signal. Simulation and experimental results demonstrate that, in comparison to traditional denoising methods for electromagnetic signals, the proposed approach yields a higher signal-to-noise ratio, lower mean squared error, and greater waveform similarity. This method exhibits stronger adaptability for denoising non-stationary electromagnetic signals generated during concrete cracking. |
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| ISSN: | 1001-1390 |