Temperature Robust PCA Based Stress Monitoring Approach
In this paper, a guided wave temperature robust PCA-based stress monitoring methodology is proposed. It is based on the analysis of the longitudinal guided wave propagating along the path under stress. Slight changes in the wave are detected by means of PCA via statistical T2 and Q indices. Experime...
Gespeichert in:
| Veröffentlicht in: | Key Engineering Materials 2016-09, Vol.713, p.288-292 |
|---|---|
| Hauptverfasser: | , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 292 |
|---|---|
| container_issue | |
| container_start_page | 288 |
| container_title | Key Engineering Materials |
| container_volume | 713 |
| creator | Quiroga, Jabid Quiroga, John Ruiz, Magda Mujica, Luis Villamizar, Rodolfo |
| description | In this paper, a guided wave temperature robust PCA-based stress monitoring methodology is proposed. It is based on the analysis of the longitudinal guided wave propagating along the path under stress. Slight changes in the wave are detected by means of PCA via statistical T2 and Q indices. Experimental and numerical simulations of the guided wave propagating in material under different temperatures have shown significant variations in the amplitude and the velocity of the wave. This condition can jeopardize the discrimination of the different stress scenarios detected by the PCA indices. Thus, it is proposed a methodology based on an extended knowledge base, composed by a PCA statistical model for different discrete temperatures to produce a robust classification of stress states under variable environmental conditions. Experimental results have shown a good agreement between the predicted scenarios and the real ones |
| doi_str_mv | 10.4028/www.scientific.net/KEM.713.288 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_csuc_</sourceid><recordid>TN_cdi_csuc_recercat_oai_recercat_cat_2072_284247</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>4199876201</sourcerecordid><originalsourceid>FETCH-LOGICAL-c4028-fc7fc2bda6d529b6755cefc45c6d63cb922eec18f1bedd037225a7d42d37494d3</originalsourceid><addsrcrecordid>eNqNkVtr3DAQhUUv0Fz6HwyF0Bc7ulrSS8l2SdLShJZcnoU8GjcOu_ZWkln676tlAyl5ysMgBp355gyHkBNGG0m5Od1ut02CAcc89AM0I-bTH-fXjWai4ca8IQesbXlttVVvyaGgwgilWcvflQ_KRG0Nbz-Qw5QeKRXMMHVA9B2uNxh9niNWN1M3p1z9Wi6qrz5hqG5zxJSq62kc8hSH8Xe12Gzi5OHhmLzv_Srhx6f3iNxfnN8tv9VXPy-_LxdXNewM1z3oHngXfBsUt12rlQLsQSpoQyugs5wjAjM96zAEKjTnyusgeRBaWhnEEWF7LqQZXETACD67yQ_Pza441dxxI7nUZebzfqZY_TNjym49JMDVyo84zckxI5W20lpRpJ9eSB-nOY7loqIqLFZc26L68mQiTilF7N0mDmsf_zpG3e5OV4Jxz8G4EowrwbgSTDFlCuBsD8jRjykjPPy353WIf0gynDM</addsrcrecordid><sourcetype>Open Access Repository</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1824715299</pqid></control><display><type>article</type><title>Temperature Robust PCA Based Stress Monitoring Approach</title><source>Recercat</source><source>Scientific.net Journals</source><creator>Quiroga, Jabid ; Quiroga, John ; Ruiz, Magda ; Mujica, Luis ; Villamizar, Rodolfo</creator><creatorcontrib>Quiroga, Jabid ; Quiroga, John ; Ruiz, Magda ; Mujica, Luis ; Villamizar, Rodolfo</creatorcontrib><description>In this paper, a guided wave temperature robust PCA-based stress monitoring methodology is proposed. It is based on the analysis of the longitudinal guided wave propagating along the path under stress. Slight changes in the wave are detected by means of PCA via statistical T2 and Q indices. Experimental and numerical simulations of the guided wave propagating in material under different temperatures have shown significant variations in the amplitude and the velocity of the wave. This condition can jeopardize the discrimination of the different stress scenarios detected by the PCA indices. Thus, it is proposed a methodology based on an extended knowledge base, composed by a PCA statistical model for different discrete temperatures to produce a robust classification of stress states under variable environmental conditions. Experimental results have shown a good agreement between the predicted scenarios and the real ones</description><identifier>ISSN: 1013-9826</identifier><identifier>ISSN: 1662-9795</identifier><identifier>ISBN: 3038357162</identifier><identifier>ISBN: 9783038357162</identifier><identifier>EISSN: 1662-9795</identifier><identifier>DOI: 10.4028/www.scientific.net/KEM.713.288</identifier><language>eng</language><publisher>Zurich: Trans Tech Publications Ltd</publisher><subject>Classification ; Computer simulation ; Física ; Guided waves ; Guies d'ones ; Knowledge base ; Mathematical models ; Methodology ; Monitoring ; PCA ; Stress monitoring ; Stresses ; Temperature robust ; Wave guides ; Wave propagation ; Àrees temàtiques de la UPC</subject><ispartof>Key Engineering Materials, 2016-09, Vol.713, p.288-292</ispartof><rights>2016 Trans Tech Publications Ltd</rights><rights>Copyright Trans Tech Publications Ltd. Sep 2016</rights><rights>Attribution-NonCommercial-NoDerivs 3.0 Spain info:eu-repo/semantics/openAccess <a href="http://creativecommons.org/licenses/by-nc-nd/3.0/es/">http://creativecommons.org/licenses/by-nc-nd/3.0/es/</a></rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4028-fc7fc2bda6d529b6755cefc45c6d63cb922eec18f1bedd037225a7d42d37494d3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttps://www.scientific.net/Image/TitleCover/4286?width=600</thumbnail><link.rule.ids>230,314,776,780,881,26951,27901,27902</link.rule.ids></links><search><creatorcontrib>Quiroga, Jabid</creatorcontrib><creatorcontrib>Quiroga, John</creatorcontrib><creatorcontrib>Ruiz, Magda</creatorcontrib><creatorcontrib>Mujica, Luis</creatorcontrib><creatorcontrib>Villamizar, Rodolfo</creatorcontrib><title>Temperature Robust PCA Based Stress Monitoring Approach</title><title>Key Engineering Materials</title><description>In this paper, a guided wave temperature robust PCA-based stress monitoring methodology is proposed. It is based on the analysis of the longitudinal guided wave propagating along the path under stress. Slight changes in the wave are detected by means of PCA via statistical T2 and Q indices. Experimental and numerical simulations of the guided wave propagating in material under different temperatures have shown significant variations in the amplitude and the velocity of the wave. This condition can jeopardize the discrimination of the different stress scenarios detected by the PCA indices. Thus, it is proposed a methodology based on an extended knowledge base, composed by a PCA statistical model for different discrete temperatures to produce a robust classification of stress states under variable environmental conditions. Experimental results have shown a good agreement between the predicted scenarios and the real ones</description><subject>Classification</subject><subject>Computer simulation</subject><subject>Física</subject><subject>Guided waves</subject><subject>Guies d'ones</subject><subject>Knowledge base</subject><subject>Mathematical models</subject><subject>Methodology</subject><subject>Monitoring</subject><subject>PCA</subject><subject>Stress monitoring</subject><subject>Stresses</subject><subject>Temperature robust</subject><subject>Wave guides</subject><subject>Wave propagation</subject><subject>Àrees temàtiques de la UPC</subject><issn>1013-9826</issn><issn>1662-9795</issn><issn>1662-9795</issn><isbn>3038357162</isbn><isbn>9783038357162</isbn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>BENPR</sourceid><sourceid>XX2</sourceid><recordid>eNqNkVtr3DAQhUUv0Fz6HwyF0Bc7ulrSS8l2SdLShJZcnoU8GjcOu_ZWkln676tlAyl5ysMgBp355gyHkBNGG0m5Od1ut02CAcc89AM0I-bTH-fXjWai4ca8IQesbXlttVVvyaGgwgilWcvflQ_KRG0Nbz-Qw5QeKRXMMHVA9B2uNxh9niNWN1M3p1z9Wi6qrz5hqG5zxJSq62kc8hSH8Xe12Gzi5OHhmLzv_Srhx6f3iNxfnN8tv9VXPy-_LxdXNewM1z3oHngXfBsUt12rlQLsQSpoQyugs5wjAjM96zAEKjTnyusgeRBaWhnEEWF7LqQZXETACD67yQ_Pza441dxxI7nUZebzfqZY_TNjym49JMDVyo84zckxI5W20lpRpJ9eSB-nOY7loqIqLFZc26L68mQiTilF7N0mDmsf_zpG3e5OV4Jxz8G4EowrwbgSTDFlCuBsD8jRjykjPPy353WIf0gynDM</recordid><startdate>20160930</startdate><enddate>20160930</enddate><creator>Quiroga, Jabid</creator><creator>Quiroga, John</creator><creator>Ruiz, Magda</creator><creator>Mujica, Luis</creator><creator>Villamizar, Rodolfo</creator><general>Trans Tech Publications Ltd</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABJCF</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>F28</scope><scope>FR3</scope><scope>HCIFZ</scope><scope>JG9</scope><scope>KB.</scope><scope>L6V</scope><scope>M7S</scope><scope>PDBOC</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>XX2</scope></search><sort><creationdate>20160930</creationdate><title>Temperature Robust PCA Based Stress Monitoring Approach</title><author>Quiroga, Jabid ; Quiroga, John ; Ruiz, Magda ; Mujica, Luis ; Villamizar, Rodolfo</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4028-fc7fc2bda6d529b6755cefc45c6d63cb922eec18f1bedd037225a7d42d37494d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Classification</topic><topic>Computer simulation</topic><topic>Física</topic><topic>Guided waves</topic><topic>Guies d'ones</topic><topic>Knowledge base</topic><topic>Mathematical models</topic><topic>Methodology</topic><topic>Monitoring</topic><topic>PCA</topic><topic>Stress monitoring</topic><topic>Stresses</topic><topic>Temperature robust</topic><topic>Wave guides</topic><topic>Wave propagation</topic><topic>Àrees temàtiques de la UPC</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Quiroga, Jabid</creatorcontrib><creatorcontrib>Quiroga, John</creatorcontrib><creatorcontrib>Ruiz, Magda</creatorcontrib><creatorcontrib>Mujica, Luis</creatorcontrib><creatorcontrib>Villamizar, Rodolfo</creatorcontrib><collection>CrossRef</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><collection>SciTech Premium Collection</collection><collection>Materials Research Database</collection><collection>Materials Science Database</collection><collection>ProQuest Engineering Collection</collection><collection>Engineering Database</collection><collection>Materials Science Collection</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Recercat</collection><jtitle>Key Engineering Materials</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Quiroga, Jabid</au><au>Quiroga, John</au><au>Ruiz, Magda</au><au>Mujica, Luis</au><au>Villamizar, Rodolfo</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Temperature Robust PCA Based Stress Monitoring Approach</atitle><jtitle>Key Engineering Materials</jtitle><date>2016-09-30</date><risdate>2016</risdate><volume>713</volume><spage>288</spage><epage>292</epage><pages>288-292</pages><issn>1013-9826</issn><issn>1662-9795</issn><eissn>1662-9795</eissn><isbn>3038357162</isbn><isbn>9783038357162</isbn><abstract>In this paper, a guided wave temperature robust PCA-based stress monitoring methodology is proposed. It is based on the analysis of the longitudinal guided wave propagating along the path under stress. Slight changes in the wave are detected by means of PCA via statistical T2 and Q indices. Experimental and numerical simulations of the guided wave propagating in material under different temperatures have shown significant variations in the amplitude and the velocity of the wave. This condition can jeopardize the discrimination of the different stress scenarios detected by the PCA indices. Thus, it is proposed a methodology based on an extended knowledge base, composed by a PCA statistical model for different discrete temperatures to produce a robust classification of stress states under variable environmental conditions. Experimental results have shown a good agreement between the predicted scenarios and the real ones</abstract><cop>Zurich</cop><pub>Trans Tech Publications Ltd</pub><doi>10.4028/www.scientific.net/KEM.713.288</doi><tpages>5</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1013-9826 |
| ispartof | Key Engineering Materials, 2016-09, Vol.713, p.288-292 |
| issn | 1013-9826 1662-9795 1662-9795 |
| language | eng |
| recordid | cdi_csuc_recercat_oai_recercat_cat_2072_284247 |
| source | Recercat; Scientific.net Journals |
| subjects | Classification Computer simulation Física Guided waves Guies d'ones Knowledge base Mathematical models Methodology Monitoring PCA Stress monitoring Stresses Temperature robust Wave guides Wave propagation Àrees temàtiques de la UPC |
| title | Temperature Robust PCA Based Stress Monitoring Approach |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-13T01%3A48%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_csuc_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Temperature%20Robust%20PCA%20Based%20Stress%20Monitoring%20Approach&rft.jtitle=Key%20Engineering%20Materials&rft.au=Quiroga,%20Jabid&rft.date=2016-09-30&rft.volume=713&rft.spage=288&rft.epage=292&rft.pages=288-292&rft.issn=1013-9826&rft.eissn=1662-9795&rft.isbn=3038357162&rft.isbn_list=9783038357162&rft_id=info:doi/10.4028/www.scientific.net/KEM.713.288&rft_dat=%3Cproquest_csuc_%3E4199876201%3C/proquest_csuc_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1824715299&rft_id=info:pmid/&rfr_iscdi=true |