| Issue |
E3S Web Conf.
Volume 618, 2025
6th International Symposium on Architecture Research Frontiers and Ecological Environment (ARFEE 2024)
|
|
|---|---|---|
| Article Number | 02017 | |
| Number of page(s) | 6 | |
| Section | Analysis of Construction Engineering and Material Characteristics | |
| DOI | https://doi.org/10.1051/e3sconf/202561802017 | |
| Published online | 27 February 2025 | |
Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet Analysis
1 China MCC20 Group Co., Ltd., Shanghai 201900, China
2 Guangdong MCC20 Construction Co., Ltd., Zhuhai 519090, Guangdong, China
3 Department of Civil and Environmental Engineering, Imperial College London, London SW7 2AZ, UK
4 School of Civil and Environmental Engineering, Harbin Institute of Technology, Shenzhen, Shenzhen 518055, China
* Corresponding author: shao8zhiwei@163.com
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.
© The Authors, published by EDP Sciences, 2025
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