EEMD-MUSIC-based analysis for natural frequencies identification of structures using artificial and natural excitations.
Identifieur interne : 000203 ( PubMed/Corpus ); précédent : 000202; suivant : 000204EEMD-MUSIC-based analysis for natural frequencies identification of structures using artificial and natural excitations.
Auteurs : David Camarena-Martinez ; Juan P. Amezquita-Sanchez ; Martin Valtierra-Rodriguez ; Rene J. Romero-Troncoso ; Roque A. Osornio-Rios ; Arturo Garcia-PerezSource :
- TheScientificWorldJournal [ 1537-744X ] ; 2014.
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- MESH :
Abstract
This paper presents a new EEMD-MUSIC- (ensemble empirical mode decomposition-multiple signal classification-) based methodology to identify modal frequencies in structures ranging from free and ambient vibration signals produced by artificial and natural excitations and also considering several factors as nonstationary effects, close modal frequencies, and noisy environments, which are common situations where several techniques reported in literature fail. The EEMD and MUSIC methods are used to decompose the vibration signal into a set of IMFs (intrinsic mode functions) and to identify the natural frequencies of a structure, respectively. The effectiveness of the proposed methodology has been validated and tested with synthetic signals and under real operating conditions. The experiments are focused on extracting the natural frequencies of a truss-type scaled structure and of a bridge used for both highway traffic and pedestrians. Results show the proposed methodology as a suitable solution for natural frequencies identification of structures from free and ambient vibration signals.
DOI: 10.1155/2014/587671
PubMed: 24683346
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">EEMD-MUSIC-based analysis for natural frequencies identification of structures using artificial and natural excitations.</title><author><name sortKey="Camarena Martinez, David" sort="Camarena Martinez, David" uniqKey="Camarena Martinez D" first="David" last="Camarena-Martinez">David Camarena-Martinez</name><affiliation><nlm:affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Amezquita Sanchez, Juan P" sort="Amezquita Sanchez, Juan P" uniqKey="Amezquita Sanchez J" first="Juan P" last="Amezquita-Sanchez">Juan P. Amezquita-Sanchez</name><affiliation><nlm:affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Valtierra Rodriguez, Martin" sort="Valtierra Rodriguez, Martin" uniqKey="Valtierra Rodriguez M" first="Martin" last="Valtierra-Rodriguez">Martin Valtierra-Rodriguez</name><affiliation><nlm:affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Romero Troncoso, Rene J" sort="Romero Troncoso, Rene J" uniqKey="Romero Troncoso R" first="Rene J" last="Romero-Troncoso">Rene J. Romero-Troncoso</name><affiliation><nlm:affiliation>HSPdigital-CA Telematica, Procesamiento Digital de Señales, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5+1.8, Palo Blanco, 36700 Salamanca, GTO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Osornio Rios, Roque A" sort="Osornio Rios, Roque A" uniqKey="Osornio Rios R" first="Roque A" last="Osornio-Rios">Roque A. Osornio-Rios</name><affiliation><nlm:affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Garcia Perez, Arturo" sort="Garcia Perez, Arturo" uniqKey="Garcia Perez A" first="Arturo" last="Garcia-Perez">Arturo Garcia-Perez</name><affiliation><nlm:affiliation>HSPdigital-CA Telematica, Procesamiento Digital de Señales, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5+1.8, Palo Blanco, 36700 Salamanca, GTO, Mexico.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2014">2014</date><idno type="doi">10.1155/2014/587671</idno><idno type="RBID">pubmed:24683346</idno><idno type="pmid">24683346</idno><idno type="wicri:Area/PubMed/Corpus">000203</idno><idno type="wicri:explorRef" wicri:stream="PubMed" wicri:step="Corpus" wicri:corpus="PubMed">000203</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">EEMD-MUSIC-based analysis for natural frequencies identification of structures using artificial and natural excitations.</title><author><name sortKey="Camarena Martinez, David" sort="Camarena Martinez, David" uniqKey="Camarena Martinez D" first="David" last="Camarena-Martinez">David Camarena-Martinez</name><affiliation><nlm:affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Amezquita Sanchez, Juan P" sort="Amezquita Sanchez, Juan P" uniqKey="Amezquita Sanchez J" first="Juan P" last="Amezquita-Sanchez">Juan P. Amezquita-Sanchez</name><affiliation><nlm:affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Valtierra Rodriguez, Martin" sort="Valtierra Rodriguez, Martin" uniqKey="Valtierra Rodriguez M" first="Martin" last="Valtierra-Rodriguez">Martin Valtierra-Rodriguez</name><affiliation><nlm:affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Romero Troncoso, Rene J" sort="Romero Troncoso, Rene J" uniqKey="Romero Troncoso R" first="Rene J" last="Romero-Troncoso">Rene J. Romero-Troncoso</name><affiliation><nlm:affiliation>HSPdigital-CA Telematica, Procesamiento Digital de Señales, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5+1.8, Palo Blanco, 36700 Salamanca, GTO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Osornio Rios, Roque A" sort="Osornio Rios, Roque A" uniqKey="Osornio Rios R" first="Roque A" last="Osornio-Rios">Roque A. Osornio-Rios</name><affiliation><nlm:affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</nlm:affiliation></affiliation></author><author><name sortKey="Garcia Perez, Arturo" sort="Garcia Perez, Arturo" uniqKey="Garcia Perez A" first="Arturo" last="Garcia-Perez">Arturo Garcia-Perez</name><affiliation><nlm:affiliation>HSPdigital-CA Telematica, Procesamiento Digital de Señales, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5+1.8, Palo Blanco, 36700 Salamanca, GTO, Mexico.</nlm:affiliation></affiliation></author></analytic><series><title level="j">TheScientificWorldJournal</title><idno type="eISSN">1537-744X</idno><imprint><date when="2014" type="published">2014</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithms</term><term>Noise</term><term>Signal Processing, Computer-Assisted</term><term>Vibration</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Algorithms</term><term>Noise</term><term>Signal Processing, Computer-Assisted</term><term>Vibration</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">This paper presents a new EEMD-MUSIC- (ensemble empirical mode decomposition-multiple signal classification-) based methodology to identify modal frequencies in structures ranging from free and ambient vibration signals produced by artificial and natural excitations and also considering several factors as nonstationary effects, close modal frequencies, and noisy environments, which are common situations where several techniques reported in literature fail. The EEMD and MUSIC methods are used to decompose the vibration signal into a set of IMFs (intrinsic mode functions) and to identify the natural frequencies of a structure, respectively. The effectiveness of the proposed methodology has been validated and tested with synthetic signals and under real operating conditions. The experiments are focused on extracting the natural frequencies of a truss-type scaled structure and of a bridge used for both highway traffic and pedestrians. Results show the proposed methodology as a suitable solution for natural frequencies identification of structures from free and ambient vibration signals.</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">24683346</PMID><DateCreated><Year>2014</Year><Month>03</Month><Day>31</Day></DateCreated><DateCompleted><Year>2015</Year><Month>01</Month><Day>13</Day></DateCompleted><DateRevised><Year>2015</Year><Month>05</Month><Day>14</Day></DateRevised><Article PubModel="Electronic-eCollection"><Journal><ISSN IssnType="Electronic">1537-744X</ISSN><JournalIssue CitedMedium="Internet"><Volume>2014</Volume><PubDate><Year>2014</Year></PubDate></JournalIssue><Title>TheScientificWorldJournal</Title><ISOAbbreviation>ScientificWorldJournal</ISOAbbreviation></Journal><ArticleTitle>EEMD-MUSIC-based analysis for natural frequencies identification of structures using artificial and natural excitations.</ArticleTitle><Pagination><MedlinePgn>587671</MedlinePgn></Pagination><ELocationID EIdType="doi" ValidYN="Y">10.1155/2014/587671</ELocationID><Abstract><AbstractText>This paper presents a new EEMD-MUSIC- (ensemble empirical mode decomposition-multiple signal classification-) based methodology to identify modal frequencies in structures ranging from free and ambient vibration signals produced by artificial and natural excitations and also considering several factors as nonstationary effects, close modal frequencies, and noisy environments, which are common situations where several techniques reported in literature fail. The EEMD and MUSIC methods are used to decompose the vibration signal into a set of IMFs (intrinsic mode functions) and to identify the natural frequencies of a structure, respectively. The effectiveness of the proposed methodology has been validated and tested with synthetic signals and under real operating conditions. The experiments are focused on extracting the natural frequencies of a truss-type scaled structure and of a bridge used for both highway traffic and pedestrians. Results show the proposed methodology as a suitable solution for natural frequencies identification of structures from free and ambient vibration signals.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Camarena-Martinez</LastName><ForeName>David</ForeName><Initials>D</Initials><Identifier Source="ORCID">0000-0003-0862-0821</Identifier><AffiliationInfo><Affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Amezquita-Sanchez</LastName><ForeName>Juan P</ForeName><Initials>JP</Initials><AffiliationInfo><Affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Valtierra-Rodriguez</LastName><ForeName>Martin</ForeName><Initials>M</Initials><Identifier Source="ORCID">0000-0003-3839-1396</Identifier><AffiliationInfo><Affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Romero-Troncoso</LastName><ForeName>Rene J</ForeName><Initials>RJ</Initials><AffiliationInfo><Affiliation>HSPdigital-CA Telematica, Procesamiento Digital de Señales, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5+1.8, Palo Blanco, 36700 Salamanca, GTO, Mexico.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Osornio-Rios</LastName><ForeName>Roque A</ForeName><Initials>RA</Initials><AffiliationInfo><Affiliation>HSPdigital-CA Mecatronica, Facultad de Ingenieria, Universidad Autonoma de Queretaro, Campus San Juan del Rio, Rio Moctezuma 249, 76807 San Juan del Rio, QRO, Mexico.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Garcia-Perez</LastName><ForeName>Arturo</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>HSPdigital-CA Telematica, Procesamiento Digital de Señales, DICIS, Universidad de Guanajuato, Carr. Salamanca-Valle km 3.5+1.8, Palo Blanco, 36700 Salamanca, GTO, Mexico.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2014</Year><Month>02</Month><Day>10</Day></ArticleDate></Article><MedlineJournalInfo><Country>England</Country><MedlineTA>ScientificWorldJournal</MedlineTA><NlmUniqueID>101131163</NlmUniqueID><ISSNLinking>1537-744X</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><CommentsCorrectionsList><CommentsCorrections RefType="Cites"><RefSource>Sensors (Basel). 2010;10(6):6063-80</RefSource><PMID Version="1">22219702</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>ScientificWorldJournal. 2013;2013:786961</RefSource><PMID Version="1">24106454</PMID></CommentsCorrections><CommentsCorrections RefType="Cites"><RefSource>ScientificWorldJournal. 2013;2013:573014</RefSource><PMID Version="1">23533352</PMID></CommentsCorrections></CommentsCorrectionsList><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N" UI="D000465">Algorithms</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D009622">Noise</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y" UI="D012815">Signal Processing, Computer-Assisted</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N" UI="D014732">Vibration</DescriptorName></MeshHeading></MeshHeadingList><OtherID Source="NLM">PMC3934768</OtherID></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="ecollection"><Year>2014</Year><Month></Month><Day></Day></PubMedPubDate><PubMedPubDate PubStatus="received"><Year>2013</Year><Month>10</Month><Day>12</Day></PubMedPubDate><PubMedPubDate PubStatus="accepted"><Year>2013</Year><Month>12</Month><Day>22</Day></PubMedPubDate><PubMedPubDate PubStatus="epublish"><Year>2014</Year><Month>2</Month><Day>10</Day></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>2014</Year><Month>4</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="pubmed"><Year>2014</Year><Month>4</Month><Day>1</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>2015</Year><Month>1</Month><Day>15</Day><Hour>6</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>epublish</PublicationStatus><ArticleIdList><ArticleId IdType="doi">10.1155/2014/587671</ArticleId><ArticleId IdType="pubmed">24683346</ArticleId><ArticleId IdType="pmc">PMC3934768</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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