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Open AccessArticle
Study on Denoising Method of Weld Defect Signal Based on SSA-VMD-WPD
by
Xiangqing Chen
Xiangqing Chen 1,
Sifan Gong
Sifan Gong 1,
Wei Pan
Wei Pan 2,*,
Youqing Kang
Youqing Kang 2 and
Weili Gong
Weili Gong 2
1
Hunan Special Equipment Inspection and Testing Institute, Changsha 410117, China
2
School of Resources and Safety Engineering, Central South University, Changsha 410083, China
*
Author to whom correspondence should be addressed.
Appl. Sci. 2024, 14(16), 7251; https://doi.org/10.3390/app14167251 (registering DOI)
Submission received: 23 June 2024
/
Revised: 14 August 2024
/
Accepted: 16 August 2024
/
Published: 17 August 2024
Abstract
Defects in welds can affect the structural safety and reliability of workpieces. Currently, the method of using phased array ultrasonic inspection technology for non-destructive testing of weld structures with high detection efficiency, good sensitivity, and good visualization of the results is widely used. However, the defective A-scan data collected by the ultrasonic phased array detector inevitably contain noise data, including the test piece material structure noise, equipment noise, and environmental noise, which undoubtedly affects the analysis of the A-scan signal. In addition, when defects are interpreted, the presence of noise also interferes with the process, which affects the accuracy of the interpretation. Therefore, to enhance the accuracy of defect identification based on phased array ultrasonic inspection technology, we must prevent the series of consequences caused by misjudgments. In this study, ultrasonic phased array inspection experiments were carried out, and the specific process flow of ultrasonic phased array inspection of flat plate butt welds was summarized. Utilizing pre-fabricated flat plate butt specimen blocks containing five types of typical defects, defect A-sweep signals based on ultrasonic phased array inspection were obtained. Combining the sparrow optimization algorithm (SSA), variational mode decomposition (VMD), and wavelet packet decomposition (WPD), a defect signal noise reduction method based on parameter optimization was studied. A noise reduction study was carried out using the noise-added simulated signal, and the results indicated that the noise reduction method proposed in this paper had a better noise reduction effect and the proposed method could effectively retain the detailed features of the ultrasonic phased array defective A-scan signal and realize the noise reduction processing of the defective A-scan signal.
Share and Cite
MDPI and ACS Style
Chen, X.; Gong, S.; Pan, W.; Kang, Y.; Gong, W.
Study on Denoising Method of Weld Defect Signal Based on SSA-VMD-WPD. Appl. Sci. 2024, 14, 7251.
https://doi.org/10.3390/app14167251
AMA Style
Chen X, Gong S, Pan W, Kang Y, Gong W.
Study on Denoising Method of Weld Defect Signal Based on SSA-VMD-WPD. Applied Sciences. 2024; 14(16):7251.
https://doi.org/10.3390/app14167251
Chicago/Turabian Style
Chen, Xiangqing, Sifan Gong, Wei Pan, Youqing Kang, and Weili Gong.
2024. "Study on Denoising Method of Weld Defect Signal Based on SSA-VMD-WPD" Applied Sciences 14, no. 16: 7251.
https://doi.org/10.3390/app14167251
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