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...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2025-01-01
|
| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/18/e3sconf_arfee24_02017.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849705457838456832 |
|---|---|
| author | Zhang Jian Zhang Ji Zha Bo Deng Jiahui Shao Zhiwei |
| author_facet | Zhang Jian Zhang Ji Zha Bo Deng Jiahui Shao Zhiwei |
| author_sort | Zhang Jian |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-30a1f9cd886d49bfa14769dd36fcf37d |
| institution | DOAJ |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-30a1f9cd886d49bfa14769dd36fcf37d2025-08-20T03:16:28ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016180201710.1051/e3sconf/202561802017e3sconf_arfee24_02017Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet AnalysisZhang Jian0Zhang Ji1Zha Bo2Deng Jiahui3Shao Zhiwei4China MCC20 Group Co., Ltd.China MCC20 Group Co., Ltd.Department of Civil and Environmental Engineering, Imperial College LondonSchool of Civil and Environmental Engineering, Harbin Institute of TechnologySchool of Civil and Environmental Engineering, Harbin Institute of TechnologyDuring 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.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/18/e3sconf_arfee24_02017.pdf |
| spellingShingle | Zhang Jian Zhang Ji Zha Bo Deng Jiahui Shao Zhiwei Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet Analysis E3S Web of Conferences |
| title | Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet Analysis |
| title_full | Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet Analysis |
| title_fullStr | Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet Analysis |
| title_full_unstemmed | Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet Analysis |
| title_short | Study on Noise Reduction Processing of Nondestructive Testing Signals Based on Wavelet Analysis |
| title_sort | study on noise reduction processing of nondestructive testing signals based on wavelet analysis |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/18/e3sconf_arfee24_02017.pdf |
| work_keys_str_mv | AT zhangjian studyonnoisereductionprocessingofnondestructivetestingsignalsbasedonwaveletanalysis AT zhangji studyonnoisereductionprocessingofnondestructivetestingsignalsbasedonwaveletanalysis AT zhabo studyonnoisereductionprocessingofnondestructivetestingsignalsbasedonwaveletanalysis AT dengjiahui studyonnoisereductionprocessingofnondestructivetestingsignalsbasedonwaveletanalysis AT shaozhiwei studyonnoisereductionprocessingofnondestructivetestingsignalsbasedonwaveletanalysis |