Version 1
: Received: 7 October 2023 / Approved: 8 October 2023 / Online: 9 October 2023 (08:54:50 CEST)
How to cite:
Qian, J.; Song, S.; Zhang, P.; Huang, Q.; Yang, J.; Zhou, L. The Denoising Method of Guided Ultrasonic Waves Based on SampEn-Improved Singular Value Decomposition. Preprints2023, 2023100449. https://doi.org/10.20944/preprints202310.0449.v1
Qian, J.; Song, S.; Zhang, P.; Huang, Q.; Yang, J.; Zhou, L. The Denoising Method of Guided Ultrasonic Waves Based on SampEn-Improved Singular Value Decomposition. Preprints 2023, 2023100449. https://doi.org/10.20944/preprints202310.0449.v1
Qian, J.; Song, S.; Zhang, P.; Huang, Q.; Yang, J.; Zhou, L. The Denoising Method of Guided Ultrasonic Waves Based on SampEn-Improved Singular Value Decomposition. Preprints2023, 2023100449. https://doi.org/10.20944/preprints202310.0449.v1
APA Style
Qian, J., Song, S., Zhang, P., Huang, Q., Yang, J., & Zhou, L. (2023). The Denoising Method of Guided Ultrasonic Waves Based on SampEn-Improved Singular Value Decomposition. Preprints. https://doi.org/10.20944/preprints202310.0449.v1
Chicago/Turabian Style
Qian, J., Ji-peng Yang and Lin-qiang Zhou. 2023 "The Denoising Method of Guided Ultrasonic Waves Based on SampEn-Improved Singular Value Decomposition" Preprints. https://doi.org/10.20944/preprints202310.0449.v1
Abstract
The guided ultrasonic wave (GUW) is extensively employed in non-destructive testing (NDT) for the purpose of detecting defects in aerospace vehicles, oil pipelines and mechanical equipment. The filtration of GUW signals, which often contain substantial environmental noise, is a crucial procedure in signal processing. This paper presents a novel denoising approach that combines Variational Mode Decomposition (VMD) with an enhanced Singular Value Decomposition (SVD). The VMD method is employed to preprocess the initial signal, thereby segregating the signal component from the noise component. Subsequently, the SampEn-SVD (Sample Entropy-SVD) method is utilized to extract the effective component from the VMD-preprocessed noise component. Finally, the VMD-preprocessed signal component and the SampEn-SVD-processed effective component are combined to yield the resultant signal, which effectively filters out the noise. The efficacy of this integrated denoising approach is substantiated through the examination of experimental signals. Furthermore, a comparative analysis is conducted to evaluate the efficacy of this method in relation to other denoising techniques. The results indicate that the SampEn-SVD method yields a superior signal-to-noise ratio (SNR) when processing the GUW signal transmitted through the steel strand. Moreover, the denoising procedure significantly reduces the discretization of characteristic parameters in the signal waveform, thereby addressing the issue of inadequate reproducibility in testing outcomes. Consequently, the denoised signal exhibits high fidelity and demonstrates a strong correlation between its combined eigenvector and strand stress.
Keywords
steel strand; GUW; signal denoising; VMD; SampEn-SVD
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
