Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves
Pipeline inspection is a topic of particular interest to the companies. Especially important is the defect sizing, which allows them to avoid subsequent costly repairs in their equipment. A solution for this issue is using ultrasonic waves sensed through Electro-Magnetic Acoustic Transducer (EMAT) a...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876749/ https://www.ncbi.nlm.nih.gov/pubmed/29518927 http://dx.doi.org/10.3390/s18030802 |
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author | García-Gómez, Joaquín Gil-Pita, Roberto Rosa-Zurera, Manuel Romero-Camacho, Antonio Jiménez-Garrido, Jesús Antonio García-Benavides, Víctor |
author_facet | García-Gómez, Joaquín Gil-Pita, Roberto Rosa-Zurera, Manuel Romero-Camacho, Antonio Jiménez-Garrido, Jesús Antonio García-Benavides, Víctor |
author_sort | García-Gómez, Joaquín |
collection | PubMed |
description | Pipeline inspection is a topic of particular interest to the companies. Especially important is the defect sizing, which allows them to avoid subsequent costly repairs in their equipment. A solution for this issue is using ultrasonic waves sensed through Electro-Magnetic Acoustic Transducer (EMAT) actuators. The main advantage of this technology is the absence of the need to have direct contact with the surface of the material under investigation, which must be a conductive one. Specifically interesting is the meander-line-coil based Lamb wave generation, since the directivity of the waves allows a study based in the circumferential wrap-around received signal. However, the variety of defect sizes changes the behavior of the signal when it passes through the pipeline. Because of that, it is necessary to apply advanced techniques based on Smart Sound Processing (SSP). These methods involve extracting useful information from the signals sensed with EMAT at different frequencies to obtain nonlinear estimations of the depth of the defect, and to select the features that better estimate the profile of the pipeline. The proposed technique has been tested using both simulated and real signals in steel pipelines, obtaining good results in terms of Root Mean Square Error (RMSE). |
format | Online Article Text |
id | pubmed-5876749 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-58767492018-04-09 Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves García-Gómez, Joaquín Gil-Pita, Roberto Rosa-Zurera, Manuel Romero-Camacho, Antonio Jiménez-Garrido, Jesús Antonio García-Benavides, Víctor Sensors (Basel) Article Pipeline inspection is a topic of particular interest to the companies. Especially important is the defect sizing, which allows them to avoid subsequent costly repairs in their equipment. A solution for this issue is using ultrasonic waves sensed through Electro-Magnetic Acoustic Transducer (EMAT) actuators. The main advantage of this technology is the absence of the need to have direct contact with the surface of the material under investigation, which must be a conductive one. Specifically interesting is the meander-line-coil based Lamb wave generation, since the directivity of the waves allows a study based in the circumferential wrap-around received signal. However, the variety of defect sizes changes the behavior of the signal when it passes through the pipeline. Because of that, it is necessary to apply advanced techniques based on Smart Sound Processing (SSP). These methods involve extracting useful information from the signals sensed with EMAT at different frequencies to obtain nonlinear estimations of the depth of the defect, and to select the features that better estimate the profile of the pipeline. The proposed technique has been tested using both simulated and real signals in steel pipelines, obtaining good results in terms of Root Mean Square Error (RMSE). MDPI 2018-03-07 /pmc/articles/PMC5876749/ /pubmed/29518927 http://dx.doi.org/10.3390/s18030802 Text en © 2018 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 García-Gómez, Joaquín Gil-Pita, Roberto Rosa-Zurera, Manuel Romero-Camacho, Antonio Jiménez-Garrido, Jesús Antonio García-Benavides, Víctor Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves |
title | Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves |
title_full | Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves |
title_fullStr | Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves |
title_full_unstemmed | Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves |
title_short | Smart Sound Processing for Defect Sizing in Pipelines Using EMAT Actuator Based Multi-Frequency Lamb Waves |
title_sort | smart sound processing for defect sizing in pipelines using emat actuator based multi-frequency lamb waves |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5876749/ https://www.ncbi.nlm.nih.gov/pubmed/29518927 http://dx.doi.org/10.3390/s18030802 |
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