False alarms in damage detection approaches

Detalhes bibliográficos
Autor(a) principal: Bueno, Douglas Domingues [UNESP]
Data de Publicação: 2008
Outros Autores: Marqui, Clayton Rodrigo [UNESP], Santos, Rodrigo Borges [UNESP], Da Silva, Samuel, Junior, Vicente Lopes [UNESP]
Tipo de documento: Artigo de conferência
Idioma: eng
Título da fonte: Repositório Institucional da UNESP
Texto Completo: https://www.sem.org/Proceedings/ConferencePapers-Paper.cfm?ConfPapersPaperID=20025
http://hdl.handle.net/11449/70841
Resumo: Structural Health Monitoring (SHM) denotes a system with the ability to detect and interpret adverse changes in structures in order to improve reliability and reduce life-cycle costs. The greatest challenge for designing a SHM system is knowing what changes to look for and how to classify them. Different approaches for SHM have been proposed for damage identification, each one with advantages and drawbacks. This paper presents a methodology for improvement in vibration signal analysis using statistics information involving the probability density. Generally, the presence of noises in input and output signals results in false alarms, then, it is important that the methodology can minimize this problem. In this paper, the proposed approach is experimentally tested in a flexible plate using a piezoelectric (PZT) actuator to provide the disturbance.
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spelling False alarms in damage detection approachesDamage detectionFalse alarmsProbability densityPZT actuatorTime seriesDamage IdentificationDetection approachFlexible platesInput and outputsLifecycle costsProbability densitiesPZTVibration signal analysisActuatorsAlarm systemsErrorsExhibitionsStructural dynamicsStructural Health Monitoring (SHM) denotes a system with the ability to detect and interpret adverse changes in structures in order to improve reliability and reduce life-cycle costs. The greatest challenge for designing a SHM system is knowing what changes to look for and how to classify them. Different approaches for SHM have been proposed for damage identification, each one with advantages and drawbacks. This paper presents a methodology for improvement in vibration signal analysis using statistics information involving the probability density. Generally, the presence of noises in input and output signals results in false alarms, then, it is important that the methodology can minimize this problem. In this paper, the proposed approach is experimentally tested in a flexible plate using a piezoelectric (PZT) actuator to provide the disturbance.GMSINT - Grupo de Materiais e Sistemas Inteligentes Department of Mechanical Engineering Faculdade de Engenharia de Ilha Solteira - UNESP, Av. Brasil 56, Ilha Solteira, SP, 15385000Department of Mechanical Design Faculty of Mechanical Engineering State University of Campinas, Rua Mendeleiev, s/n, Cidade Universitária, 13083-970GMSINT - Grupo de Materiais e Sistemas Inteligentes Department of Mechanical Engineering Faculdade de Engenharia de Ilha Solteira - UNESP, Av. Brasil 56, Ilha Solteira, SP, 15385000Universidade Estadual Paulista (Unesp)Universidade Estadual de Campinas (UNICAMP)Bueno, Douglas Domingues [UNESP]Marqui, Clayton Rodrigo [UNESP]Santos, Rodrigo Borges [UNESP]Da Silva, SamuelJunior, Vicente Lopes [UNESP]2014-05-27T11:23:49Z2014-05-27T11:23:49Z2008-12-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/conferenceObjecthttps://www.sem.org/Proceedings/ConferencePapers-Paper.cfm?ConfPapersPaperID=20025Conference Proceedings of the Society for Experimental Mechanics Series.2191-56442191-5652http://hdl.handle.net/11449/708412-s2.0-848615565111457178419328525Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengConference Proceedings of the Society for Experimental Mechanics Series0,232info:eu-repo/semantics/openAccess2021-10-23T04:53:46Zoai:repositorio.unesp.br:11449/70841Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462021-10-23T04:53:46Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv False alarms in damage detection approaches
title False alarms in damage detection approaches
spellingShingle False alarms in damage detection approaches
Bueno, Douglas Domingues [UNESP]
Damage detection
False alarms
Probability density
PZT actuator
Time series
Damage Identification
Detection approach
Flexible plates
Input and outputs
Lifecycle costs
Probability densities
PZT
Vibration signal analysis
Actuators
Alarm systems
Errors
Exhibitions
Structural dynamics
title_short False alarms in damage detection approaches
title_full False alarms in damage detection approaches
title_fullStr False alarms in damage detection approaches
title_full_unstemmed False alarms in damage detection approaches
title_sort False alarms in damage detection approaches
author Bueno, Douglas Domingues [UNESP]
author_facet Bueno, Douglas Domingues [UNESP]
Marqui, Clayton Rodrigo [UNESP]
Santos, Rodrigo Borges [UNESP]
Da Silva, Samuel
Junior, Vicente Lopes [UNESP]
author_role author
author2 Marqui, Clayton Rodrigo [UNESP]
Santos, Rodrigo Borges [UNESP]
Da Silva, Samuel
Junior, Vicente Lopes [UNESP]
author2_role author
author
author
author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
Universidade Estadual de Campinas (UNICAMP)
dc.contributor.author.fl_str_mv Bueno, Douglas Domingues [UNESP]
Marqui, Clayton Rodrigo [UNESP]
Santos, Rodrigo Borges [UNESP]
Da Silva, Samuel
Junior, Vicente Lopes [UNESP]
dc.subject.por.fl_str_mv Damage detection
False alarms
Probability density
PZT actuator
Time series
Damage Identification
Detection approach
Flexible plates
Input and outputs
Lifecycle costs
Probability densities
PZT
Vibration signal analysis
Actuators
Alarm systems
Errors
Exhibitions
Structural dynamics
topic Damage detection
False alarms
Probability density
PZT actuator
Time series
Damage Identification
Detection approach
Flexible plates
Input and outputs
Lifecycle costs
Probability densities
PZT
Vibration signal analysis
Actuators
Alarm systems
Errors
Exhibitions
Structural dynamics
description Structural Health Monitoring (SHM) denotes a system with the ability to detect and interpret adverse changes in structures in order to improve reliability and reduce life-cycle costs. The greatest challenge for designing a SHM system is knowing what changes to look for and how to classify them. Different approaches for SHM have been proposed for damage identification, each one with advantages and drawbacks. This paper presents a methodology for improvement in vibration signal analysis using statistics information involving the probability density. Generally, the presence of noises in input and output signals results in false alarms, then, it is important that the methodology can minimize this problem. In this paper, the proposed approach is experimentally tested in a flexible plate using a piezoelectric (PZT) actuator to provide the disturbance.
publishDate 2008
dc.date.none.fl_str_mv 2008-12-01
2014-05-27T11:23:49Z
2014-05-27T11:23:49Z
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 https://www.sem.org/Proceedings/ConferencePapers-Paper.cfm?ConfPapersPaperID=20025
Conference Proceedings of the Society for Experimental Mechanics Series.
2191-5644
2191-5652
http://hdl.handle.net/11449/70841
2-s2.0-84861556511
1457178419328525
url https://www.sem.org/Proceedings/ConferencePapers-Paper.cfm?ConfPapersPaperID=20025
http://hdl.handle.net/11449/70841
identifier_str_mv Conference Proceedings of the Society for Experimental Mechanics Series.
2191-5644
2191-5652
2-s2.0-84861556511
1457178419328525
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Conference Proceedings of the Society for Experimental Mechanics Series
0,232
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
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