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Damage identification using 2-D discrete wavelet transform on extended operational mode shapes
In this paper a new scheme of damage detection and localisation is presented by implementing frequency response functions (FRFs) of damaged structure only. First damage sensitive shape signals are generated by taking the second order derivatives of the operational mode shapes at each frequency coord...
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Published in: | Archives of Civil and Mechanical Engineering 2015-05, Vol.15 (3), p.698-710 |
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creator | Makki Alamdari, M. Li, J. Samali, B. |
description | In this paper a new scheme of damage detection and localisation is presented by implementing frequency response functions (FRFs) of damaged structure only. First damage sensitive shape signals are generated by taking the second order derivatives of the operational mode shapes at each frequency coordinate and then the anti-symmetric extension of each shape signal at the beginning and at the end of the signal is created to avoid boundary distortion phenomenon. In order to highlight the damage influence on shape signals, the shape signals are normalised with respect to the maximum value to adjust the amplitude difference between shape signals at different frequencies. It is illustrated that normalisation of shape signals significantly improves the damage localisation results. After normalising the shape signals, a two-dimensional (2-D) map of all shape signals is created and then is analysed by employing 2-D discrete wavelet transform (DWT). By performing 2-D DWT, three sets of horizontal, vertical and diagonal detailed wavelet coefficients will be obtained. It is demonstrated that amongst these three sets, horizontal detail coefficients are the most sensitive ones to any perturbation in the shape signals due to damage occurrence and, thus, are utilised to localise damage in this study. |
doi_str_mv | 10.1016/j.acme.2014.12.001 |
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First damage sensitive shape signals are generated by taking the second order derivatives of the operational mode shapes at each frequency coordinate and then the anti-symmetric extension of each shape signal at the beginning and at the end of the signal is created to avoid boundary distortion phenomenon. In order to highlight the damage influence on shape signals, the shape signals are normalised with respect to the maximum value to adjust the amplitude difference between shape signals at different frequencies. It is illustrated that normalisation of shape signals significantly improves the damage localisation results. After normalising the shape signals, a two-dimensional (2-D) map of all shape signals is created and then is analysed by employing 2-D discrete wavelet transform (DWT). By performing 2-D DWT, three sets of horizontal, vertical and diagonal detailed wavelet coefficients will be obtained. It is demonstrated that amongst these three sets, horizontal detail coefficients are the most sensitive ones to any perturbation in the shape signals due to damage occurrence and, thus, are utilised to localise damage in this study.</description><identifier>ISSN: 1644-9665</identifier><identifier>EISSN: 2083-3318</identifier><identifier>DOI: 10.1016/j.acme.2014.12.001</identifier><language>eng</language><publisher>London: Springer London</publisher><subject>Civil Engineering ; Damage detection ; Damage localization ; Discrete Wavelet Transform ; Engineering ; Frequency response functions ; Localization ; Mechanical Engineering ; Original Research Article ; Structural Materials ; Two dimensional analysis ; Wavelet transforms</subject><ispartof>Archives of Civil and Mechanical Engineering, 2015-05, Vol.15 (3), p.698-710</ispartof><rights>Politechnika Wrocławska 2014</rights><rights>Politechnika Wrocławska 2014.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c319t-ce611f3e212a5aa8c640e538d9ec9f3b48dcd29d89f939ab569183bc871c6a983</citedby><cites>FETCH-LOGICAL-c319t-ce611f3e212a5aa8c640e538d9ec9f3b48dcd29d89f939ab569183bc871c6a983</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,786,790,27957,27958</link.rule.ids></links><search><creatorcontrib>Makki Alamdari, M.</creatorcontrib><creatorcontrib>Li, J.</creatorcontrib><creatorcontrib>Samali, B.</creatorcontrib><title>Damage identification using 2-D discrete wavelet transform on extended operational mode shapes</title><title>Archives of Civil and Mechanical Engineering</title><addtitle>Archiv.Civ.Mech.Eng</addtitle><description>In this paper a new scheme of damage detection and localisation is presented by implementing frequency response functions (FRFs) of damaged structure only. 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It is demonstrated that amongst these three sets, horizontal detail coefficients are the most sensitive ones to any perturbation in the shape signals due to damage occurrence and, thus, are utilised to localise damage in this study.</description><subject>Civil Engineering</subject><subject>Damage detection</subject><subject>Damage localization</subject><subject>Discrete Wavelet Transform</subject><subject>Engineering</subject><subject>Frequency response functions</subject><subject>Localization</subject><subject>Mechanical Engineering</subject><subject>Original Research Article</subject><subject>Structural Materials</subject><subject>Two dimensional analysis</subject><subject>Wavelet transforms</subject><issn>1644-9665</issn><issn>2083-3318</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNp9kEtLAzEURoMoWGr_gKuA6xlzk5k0WUqrVii40a0hTe7UGToPk9THv3dqBXeu7uacj8sh5BJYDgzkdZNb12LOGRQ58JwxOCETzpTIhAB1SiYgiyLTUpbnZBZjw0aCzTnIckJelra1W6S1xy7VVe1sqvuO7mPdbSnPltTX0QVMSD_sO-4w0RRsF6s-tHTk8DNh59HTfsDwo9odbXuPNL7aAeMFOavsLuLs907J893t02KVrR_vHxY368wJ0ClzKAEqgRy4La1VThYMS6G8RqcrsSmUd55rr3SlhbabUmpQYuPUHJy0WokpuTruDqF_22NMpun3YXwmGq4F53MuFIwUP1Iu9DEGrMwQ6taGLwPMHFKaxhxSmkNKA9yMoUZJHKU4wt0Ww9_0P9Y3RVR5kg</recordid><startdate>20150501</startdate><enddate>20150501</enddate><creator>Makki Alamdari, M.</creator><creator>Li, J.</creator><creator>Samali, B.</creator><general>Springer London</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>L6V</scope><scope>M7S</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope></search><sort><creationdate>20150501</creationdate><title>Damage identification using 2-D discrete wavelet transform on extended operational mode shapes</title><author>Makki Alamdari, M. ; Li, J. ; Samali, B.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c319t-ce611f3e212a5aa8c640e538d9ec9f3b48dcd29d89f939ab569183bc871c6a983</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Civil Engineering</topic><topic>Damage detection</topic><topic>Damage localization</topic><topic>Discrete Wavelet Transform</topic><topic>Engineering</topic><topic>Frequency response functions</topic><topic>Localization</topic><topic>Mechanical Engineering</topic><topic>Original Research Article</topic><topic>Structural Materials</topic><topic>Two dimensional analysis</topic><topic>Wavelet transforms</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Makki Alamdari, M.</creatorcontrib><creatorcontrib>Li, J.</creatorcontrib><creatorcontrib>Samali, B.</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Engineering Collection</collection><jtitle>Archives of Civil and Mechanical Engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Makki Alamdari, M.</au><au>Li, J.</au><au>Samali, B.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Damage identification using 2-D discrete wavelet transform on extended operational mode shapes</atitle><jtitle>Archives of Civil and Mechanical Engineering</jtitle><stitle>Archiv.Civ.Mech.Eng</stitle><date>2015-05-01</date><risdate>2015</risdate><volume>15</volume><issue>3</issue><spage>698</spage><epage>710</epage><pages>698-710</pages><issn>1644-9665</issn><eissn>2083-3318</eissn><abstract>In this paper a new scheme of damage detection and localisation is presented by implementing frequency response functions (FRFs) of damaged structure only. First damage sensitive shape signals are generated by taking the second order derivatives of the operational mode shapes at each frequency coordinate and then the anti-symmetric extension of each shape signal at the beginning and at the end of the signal is created to avoid boundary distortion phenomenon. In order to highlight the damage influence on shape signals, the shape signals are normalised with respect to the maximum value to adjust the amplitude difference between shape signals at different frequencies. It is illustrated that normalisation of shape signals significantly improves the damage localisation results. After normalising the shape signals, a two-dimensional (2-D) map of all shape signals is created and then is analysed by employing 2-D discrete wavelet transform (DWT). By performing 2-D DWT, three sets of horizontal, vertical and diagonal detailed wavelet coefficients will be obtained. It is demonstrated that amongst these three sets, horizontal detail coefficients are the most sensitive ones to any perturbation in the shape signals due to damage occurrence and, thus, are utilised to localise damage in this study.</abstract><cop>London</cop><pub>Springer London</pub><doi>10.1016/j.acme.2014.12.001</doi><tpages>13</tpages></addata></record> |
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subjects | Civil Engineering Damage detection Damage localization Discrete Wavelet Transform Engineering Frequency response functions Localization Mechanical Engineering Original Research Article Structural Materials Two dimensional analysis Wavelet transforms |
title | Damage identification using 2-D discrete wavelet transform on extended operational mode shapes |
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