Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet Analysis
During the execution of nondestructive testing (NDT) tasks, various noise signals interfere with the collected data, leading to signal distortion. As a result, directly evaluating the damage of mebers based on noisy signals becomes exceedingly challenging. To mitigate the adverse effects of noise, t...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/18/e3sconf_arfee24_02017.pdf |
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| Summary: | During the execution of nondestructive testing (NDT) tasks, various noise signals interfere with the collected data, leading to signal distortion. As a result, directly evaluating the damage of mebers based on noisy signals becomes exceedingly challenging. To mitigate the adverse effects of noise, this study employs wavelet analysis theory to analyze denoising parameters for ultrasonic testing signals contaminated by noise. The findings reveal that when the wavelet basis is set to coif5 and the decomposition level is 2, the denoised signal achieves the highest signal-to-noise ratio (SNR), effectively suppressing noise. These results provide a parameter template for future ultrasonic testing signal denoising tasks. |
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| ISSN: | 2267-1242 |