Damage detection in noisy environments based on EMI and Lamb waves: A comparative study
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1177/1045389X221128583 http://hdl.handle.net/11449/246280 |
Resumo: | Structural health monitoring (SHM) systems have shown the potential to detect damage in various types of structures, thus increasing safety and reducing maintenance costs. Among the damage detection methods are those that use small piezoelectric transducers attached to the monitored structure, such as the electromechanical impedance (EMI) and Lamb waves methods. Although both methods have shown to be effective in detecting structural damage, external disturbances such as noise can alter the signals from piezoelectric sensors in real applications and prejudice the correct diagnosis of the monitored structure. Therefore, this paper presents a comparative analysis of the performance of EMI and Lamb waves methods in noisy environments, which is a condition commonly found in real structures. The obtained results add value to the SHM field by allowing to know the tradeoff in choosing the appropriate method regarding the detection, quantification, and location of structural damage under noise conditions. Experimental tests were performed on aluminum structures to assess the effectiveness of both techniques to detect, quantify, and locate structural damage under noise of different intensities. The experimental results show that each technique has different characteristics in terms of effectiveness in detecting, quantifying, and locating damage under noise effects. |
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Repositório Institucional da UNESP |
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Damage detection in noisy environments based on EMI and Lamb waves: A comparative studydamage detectionelectromechanical impedanceLamb wavesnoisePiezoelectric transducersStructural health monitoring (SHM) systems have shown the potential to detect damage in various types of structures, thus increasing safety and reducing maintenance costs. Among the damage detection methods are those that use small piezoelectric transducers attached to the monitored structure, such as the electromechanical impedance (EMI) and Lamb waves methods. Although both methods have shown to be effective in detecting structural damage, external disturbances such as noise can alter the signals from piezoelectric sensors in real applications and prejudice the correct diagnosis of the monitored structure. Therefore, this paper presents a comparative analysis of the performance of EMI and Lamb waves methods in noisy environments, which is a condition commonly found in real structures. The obtained results add value to the SHM field by allowing to know the tradeoff in choosing the appropriate method regarding the detection, quantification, and location of structural damage under noise conditions. Experimental tests were performed on aluminum structures to assess the effectiveness of both techniques to detect, quantify, and locate structural damage under noise of different intensities. The experimental results show that each technique has different characteristics in terms of effectiveness in detecting, quantifying, and locating damage under noise effects.Department of Electrical Engineering School of Engineering São Paulo State University (UNESP), São PauloDepartment of Electrical Engineering School of Engineering São Paulo State University (UNESP), São PauloUniversidade Estadual Paulista (UNESP)Campeiro, Leandro Melo [UNESP]Budoya, Danilo Ecidir [UNESP]Baptista, Fabricio Guimarães [UNESP]2023-07-29T12:36:38Z2023-07-29T12:36:38Z2022-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttp://dx.doi.org/10.1177/1045389X221128583Journal of Intelligent Material Systems and Structures.1530-81381045-389Xhttp://hdl.handle.net/11449/24628010.1177/1045389X2211285832-s2.0-85141752106Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengJournal of Intelligent Material Systems and Structuresinfo:eu-repo/semantics/openAccess2023-07-29T12:36:38Zoai:repositorio.unesp.br:11449/246280Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:14:39.201478Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Damage detection in noisy environments based on EMI and Lamb waves: A comparative study |
title |
Damage detection in noisy environments based on EMI and Lamb waves: A comparative study |
spellingShingle |
Damage detection in noisy environments based on EMI and Lamb waves: A comparative study Campeiro, Leandro Melo [UNESP] damage detection electromechanical impedance Lamb waves noise Piezoelectric transducers |
title_short |
Damage detection in noisy environments based on EMI and Lamb waves: A comparative study |
title_full |
Damage detection in noisy environments based on EMI and Lamb waves: A comparative study |
title_fullStr |
Damage detection in noisy environments based on EMI and Lamb waves: A comparative study |
title_full_unstemmed |
Damage detection in noisy environments based on EMI and Lamb waves: A comparative study |
title_sort |
Damage detection in noisy environments based on EMI and Lamb waves: A comparative study |
author |
Campeiro, Leandro Melo [UNESP] |
author_facet |
Campeiro, Leandro Melo [UNESP] Budoya, Danilo Ecidir [UNESP] Baptista, Fabricio Guimarães [UNESP] |
author_role |
author |
author2 |
Budoya, Danilo Ecidir [UNESP] Baptista, Fabricio Guimarães [UNESP] |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Paulista (UNESP) |
dc.contributor.author.fl_str_mv |
Campeiro, Leandro Melo [UNESP] Budoya, Danilo Ecidir [UNESP] Baptista, Fabricio Guimarães [UNESP] |
dc.subject.por.fl_str_mv |
damage detection electromechanical impedance Lamb waves noise Piezoelectric transducers |
topic |
damage detection electromechanical impedance Lamb waves noise Piezoelectric transducers |
description |
Structural health monitoring (SHM) systems have shown the potential to detect damage in various types of structures, thus increasing safety and reducing maintenance costs. Among the damage detection methods are those that use small piezoelectric transducers attached to the monitored structure, such as the electromechanical impedance (EMI) and Lamb waves methods. Although both methods have shown to be effective in detecting structural damage, external disturbances such as noise can alter the signals from piezoelectric sensors in real applications and prejudice the correct diagnosis of the monitored structure. Therefore, this paper presents a comparative analysis of the performance of EMI and Lamb waves methods in noisy environments, which is a condition commonly found in real structures. The obtained results add value to the SHM field by allowing to know the tradeoff in choosing the appropriate method regarding the detection, quantification, and location of structural damage under noise conditions. Experimental tests were performed on aluminum structures to assess the effectiveness of both techniques to detect, quantify, and locate structural damage under noise of different intensities. The experimental results show that each technique has different characteristics in terms of effectiveness in detecting, quantifying, and locating damage under noise effects. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-01-01 2023-07-29T12:36:38Z 2023-07-29T12:36:38Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1177/1045389X221128583 Journal of Intelligent Material Systems and Structures. 1530-8138 1045-389X http://hdl.handle.net/11449/246280 10.1177/1045389X221128583 2-s2.0-85141752106 |
url |
http://dx.doi.org/10.1177/1045389X221128583 http://hdl.handle.net/11449/246280 |
identifier_str_mv |
Journal of Intelligent Material Systems and Structures. 1530-8138 1045-389X 10.1177/1045389X221128583 2-s2.0-85141752106 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Journal of Intelligent Material Systems and Structures |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129300422983680 |