A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections

Detalhes bibliográficos
Autor(a) principal: De Castro, Bruno Albuquerque [UNESP]
Data de Publicação: 2019
Outros Autores: Baptista, Fabricio Guimarães [UNESP], Ciampa, Francesco [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.1016/j.matpr.2020.03.470
http://hdl.handle.net/11449/205989
Resumo: Among several structural health monitoring (SHM) systems, the electro-mechanical impedance (EMI) method is an effective failure detection approach in composite components. In the EMI method, damage detection is achieved by comparing the behaviour of piezoelectric impedance signatures, which are related mathematically to the mechanical impedance of the host structure. Although many studies have proved the effectiveness of the EMI method on composites, many practical issues such signal changes caused by noise and vibrations have limited its use in real-life applications. This work presents an experimental analysis of white noise effects on the impedance monitoring of a carbon fibre reinforced plastic composite plate, by applying the correlation coefficient deviation metric (CCDM) and cross-correlation square deviation (CCSD) index on the response signal of a pitch-catch mode piezoelectric transducer. Experimental results revealed that the CCSD was more sensitive to damage detection under noisy inspections.
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spelling A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspectionsCarbon fibreCompositeDamage indexImpedanceSHMSignal processingAmong several structural health monitoring (SHM) systems, the electro-mechanical impedance (EMI) method is an effective failure detection approach in composite components. In the EMI method, damage detection is achieved by comparing the behaviour of piezoelectric impedance signatures, which are related mathematically to the mechanical impedance of the host structure. Although many studies have proved the effectiveness of the EMI method on composites, many practical issues such signal changes caused by noise and vibrations have limited its use in real-life applications. This work presents an experimental analysis of white noise effects on the impedance monitoring of a carbon fibre reinforced plastic composite plate, by applying the correlation coefficient deviation metric (CCDM) and cross-correlation square deviation (CCSD) index on the response signal of a pitch-catch mode piezoelectric transducer. Experimental results revealed that the CCSD was more sensitive to damage detection under noisy inspections.Department of Electrical Engineering São Paulo State University (UNESP), Av. Eng. Luiz Edmundo C. Coube 14-01Department of Mechanical Engineering Sciences University of SurreyDepartment of Electrical Engineering São Paulo State University (UNESP), Av. Eng. Luiz Edmundo C. Coube 14-01Universidade Estadual Paulista (Unesp)University of SurreyDe Castro, Bruno Albuquerque [UNESP]Baptista, Fabricio Guimarães [UNESP]Ciampa, Francesco [UNESP]2021-06-25T10:24:45Z2021-06-25T10:24:45Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObject275-279http://dx.doi.org/10.1016/j.matpr.2020.03.470Materials Today: Proceedings, v. 34, p. 275-279.2214-7853http://hdl.handle.net/11449/20598910.1016/j.matpr.2020.03.4702-s2.0-85101910776Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengMaterials Today: Proceedingsinfo:eu-repo/semantics/openAccess2021-10-22T20:28:34Zoai:repositorio.unesp.br:11449/205989Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T14:42:39.685877Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections
title A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections
spellingShingle A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections
De Castro, Bruno Albuquerque [UNESP]
Carbon fibre
Composite
Damage index
Impedance
SHM
Signal processing
title_short A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections
title_full A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections
title_fullStr A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections
title_full_unstemmed A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections
title_sort A comparison of signal processing techniques for impedance-based damage characterization in carbon fibers under noisy inspections
author De Castro, Bruno Albuquerque [UNESP]
author_facet De Castro, Bruno Albuquerque [UNESP]
Baptista, Fabricio Guimarães [UNESP]
Ciampa, Francesco [UNESP]
author_role author
author2 Baptista, Fabricio Guimarães [UNESP]
Ciampa, Francesco [UNESP]
author2_role author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
University of Surrey
dc.contributor.author.fl_str_mv De Castro, Bruno Albuquerque [UNESP]
Baptista, Fabricio Guimarães [UNESP]
Ciampa, Francesco [UNESP]
dc.subject.por.fl_str_mv Carbon fibre
Composite
Damage index
Impedance
SHM
Signal processing
topic Carbon fibre
Composite
Damage index
Impedance
SHM
Signal processing
description Among several structural health monitoring (SHM) systems, the electro-mechanical impedance (EMI) method is an effective failure detection approach in composite components. In the EMI method, damage detection is achieved by comparing the behaviour of piezoelectric impedance signatures, which are related mathematically to the mechanical impedance of the host structure. Although many studies have proved the effectiveness of the EMI method on composites, many practical issues such signal changes caused by noise and vibrations have limited its use in real-life applications. This work presents an experimental analysis of white noise effects on the impedance monitoring of a carbon fibre reinforced plastic composite plate, by applying the correlation coefficient deviation metric (CCDM) and cross-correlation square deviation (CCSD) index on the response signal of a pitch-catch mode piezoelectric transducer. Experimental results revealed that the CCSD was more sensitive to damage detection under noisy inspections.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2021-06-25T10:24:45Z
2021-06-25T10:24:45Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/conferenceObject
format conferenceObject
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.1016/j.matpr.2020.03.470
Materials Today: Proceedings, v. 34, p. 275-279.
2214-7853
http://hdl.handle.net/11449/205989
10.1016/j.matpr.2020.03.470
2-s2.0-85101910776
url http://dx.doi.org/10.1016/j.matpr.2020.03.470
http://hdl.handle.net/11449/205989
identifier_str_mv Materials Today: Proceedings, v. 34, p. 275-279.
2214-7853
10.1016/j.matpr.2020.03.470
2-s2.0-85101910776
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Materials Today: Proceedings
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 275-279
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
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