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Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing
Ultrasonic guided wave (UGW) testing is widely applied in numerous industry areas for the examination of pipelines where structural integrity is of concern. Guided wave testing is capable of inspecting long lengths of pipes from a single tool location using some arrays of transducers positioned arou...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506708/ https://www.ncbi.nlm.nih.gov/pubmed/32842489 http://dx.doi.org/10.3390/s20174759 |
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author | Pedram, Seyed Kamran Gan, Tat-Hean Ghafourian, Mahdieh |
author_facet | Pedram, Seyed Kamran Gan, Tat-Hean Ghafourian, Mahdieh |
author_sort | Pedram, Seyed Kamran |
collection | PubMed |
description | Ultrasonic guided wave (UGW) testing is widely applied in numerous industry areas for the examination of pipelines where structural integrity is of concern. Guided wave testing is capable of inspecting long lengths of pipes from a single tool location using some arrays of transducers positioned around the pipe. Due to dispersive propagation and the multimodal behavior of UGW, the received signal is usually degraded and noisy, that reduce the inspection range and sensitivity to small defects. Therefore, signal interpretation and identifying small defects is a challenging task in such systems, particularly for buried/coated pipes, in that the attenuation rates are considerably higher compared with a bare pipe. In this work, a novel solution is proposed to address this issue by employing an advanced signal processing approach called “split-spectrum processing” (SSP) to minimize the level of background noise and enhance the signal quality. The SSP technique has already shown promising results in a limited trial for a bar pipe and, in this work, the proposed technique has been experimentally compared with the traditional approach for coated pipes. The results illustrate that the proposed technique significantly increases the signal-to-noise ratio and enhances the sensitivity to small defects that are hidden below the background noise. |
format | Online Article Text |
id | pubmed-7506708 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75067082020-09-26 Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing Pedram, Seyed Kamran Gan, Tat-Hean Ghafourian, Mahdieh Sensors (Basel) Article Ultrasonic guided wave (UGW) testing is widely applied in numerous industry areas for the examination of pipelines where structural integrity is of concern. Guided wave testing is capable of inspecting long lengths of pipes from a single tool location using some arrays of transducers positioned around the pipe. Due to dispersive propagation and the multimodal behavior of UGW, the received signal is usually degraded and noisy, that reduce the inspection range and sensitivity to small defects. Therefore, signal interpretation and identifying small defects is a challenging task in such systems, particularly for buried/coated pipes, in that the attenuation rates are considerably higher compared with a bare pipe. In this work, a novel solution is proposed to address this issue by employing an advanced signal processing approach called “split-spectrum processing” (SSP) to minimize the level of background noise and enhance the signal quality. The SSP technique has already shown promising results in a limited trial for a bar pipe and, in this work, the proposed technique has been experimentally compared with the traditional approach for coated pipes. The results illustrate that the proposed technique significantly increases the signal-to-noise ratio and enhances the sensitivity to small defects that are hidden below the background noise. MDPI 2020-08-23 /pmc/articles/PMC7506708/ /pubmed/32842489 http://dx.doi.org/10.3390/s20174759 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Pedram, Seyed Kamran Gan, Tat-Hean Ghafourian, Mahdieh Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing |
title | Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing |
title_full | Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing |
title_fullStr | Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing |
title_full_unstemmed | Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing |
title_short | Improved Defect Detection of Guided Wave Testing Using Split-Spectrum Processing |
title_sort | improved defect detection of guided wave testing using split-spectrum processing |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7506708/ https://www.ncbi.nlm.nih.gov/pubmed/32842489 http://dx.doi.org/10.3390/s20174759 |
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