Application of Neural Networks for Quality Evaluation of Resistance Spot Welds

A neural network based system was developed to perform non-destructive quality evaluation of spot welds. The spot welds are classified with a high reliability of 100 %, taking variations of the welding parameters and electrode wear into account. The classification was carried out by the means of pre...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:ISIJ International 1999/10/15, Vol.39(10), pp.1061-1066
Hauptverfasser: Dilthey, Ulrich, Dickersbach, Jörg
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1066
container_issue 10
container_start_page 1061
container_title ISIJ International
container_volume 39
creator Dilthey, Ulrich
Dickersbach, Jörg
description A neural network based system was developed to perform non-destructive quality evaluation of spot welds. The spot welds are classified with a high reliability of 100 %, taking variations of the welding parameters and electrode wear into account. The classification was carried out by the means of preprocessed data from the course of welding current and voltage.
doi_str_mv 10.2355/isijinternational.39.1061
format Article
fullrecord <record><control><sourceid>jstage_cross</sourceid><recordid>TN_cdi_crossref_primary_10_2355_isijinternational_39_1061</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>article_isijinternational1989_39_10_39_10_1061_article_char_en</sourcerecordid><originalsourceid>FETCH-LOGICAL-c554t-ba8a62c2c46ad72b1c11fea4969cd5950d942074e28bf435214551ece189ed403</originalsourceid><addsrcrecordid>eNplkM1OAjEUhRujiUR5h_EBBnv7M0yXhOBPQjAqxmXT6dzRYp2ZtEXD2wtC2LC5Z3O-k5uPkBugI8alvHXRrVybMLQmua41fsTVCGgBZ2QAXIxzKQp6TgZUgcxBSnVJhjG6ilImSsGBD8hi0vfe2X8-65psgetg_DbSbxe-YtZ0IXteG-_SJpv9GL8-Nl8wuphMazF77buUvaOv4zW5aIyPODzkFXm7my2nD_n86f5xOpnnVkqR8sqUpmCWWVGYeswqsAANGqEKZWupJK2VYHQskJVVI7hkIKQEtAilwlpQfkXUfteGLsaAje6D-zZho4HqnRt94kZzpXdutuxyz66273_gkTQhOevxlARVqj19uLuZY91-mqCx5X8g_H00</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Application of Neural Networks for Quality Evaluation of Resistance Spot Welds</title><source>J-STAGE Free</source><source>EZB-FREE-00999 freely available EZB journals</source><source>Free Full-Text Journals in Chemistry</source><creator>Dilthey, Ulrich ; Dickersbach, Jörg</creator><creatorcontrib>Dilthey, Ulrich ; Dickersbach, Jörg</creatorcontrib><description>A neural network based system was developed to perform non-destructive quality evaluation of spot welds. The spot welds are classified with a high reliability of 100 %, taking variations of the welding parameters and electrode wear into account. The classification was carried out by the means of preprocessed data from the course of welding current and voltage.</description><identifier>ISSN: 0915-1559</identifier><identifier>EISSN: 1347-5460</identifier><identifier>DOI: 10.2355/isijinternational.39.1061</identifier><language>eng</language><publisher>The Iron and Steel Institute of Japan</publisher><subject>electrode wear ; neural networks ; parameter variations ; quality evaluation ; resistance spotwelding ; steel</subject><ispartof>ISIJ International, 1999/10/15, Vol.39(10), pp.1061-1066</ispartof><rights>The Iron and Steel Institute of Japan</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c554t-ba8a62c2c46ad72b1c11fea4969cd5950d942074e28bf435214551ece189ed403</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,781,785,1884,27929,27930</link.rule.ids></links><search><creatorcontrib>Dilthey, Ulrich</creatorcontrib><creatorcontrib>Dickersbach, Jörg</creatorcontrib><title>Application of Neural Networks for Quality Evaluation of Resistance Spot Welds</title><title>ISIJ International</title><addtitle>ISIJ Int.</addtitle><description>A neural network based system was developed to perform non-destructive quality evaluation of spot welds. The spot welds are classified with a high reliability of 100 %, taking variations of the welding parameters and electrode wear into account. The classification was carried out by the means of preprocessed data from the course of welding current and voltage.</description><subject>electrode wear</subject><subject>neural networks</subject><subject>parameter variations</subject><subject>quality evaluation</subject><subject>resistance spotwelding</subject><subject>steel</subject><issn>0915-1559</issn><issn>1347-5460</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNplkM1OAjEUhRujiUR5h_EBBnv7M0yXhOBPQjAqxmXT6dzRYp2ZtEXD2wtC2LC5Z3O-k5uPkBugI8alvHXRrVybMLQmua41fsTVCGgBZ2QAXIxzKQp6TgZUgcxBSnVJhjG6ilImSsGBD8hi0vfe2X8-65psgetg_DbSbxe-YtZ0IXteG-_SJpv9GL8-Nl8wuphMazF77buUvaOv4zW5aIyPODzkFXm7my2nD_n86f5xOpnnVkqR8sqUpmCWWVGYeswqsAANGqEKZWupJK2VYHQskJVVI7hkIKQEtAilwlpQfkXUfteGLsaAje6D-zZho4HqnRt94kZzpXdutuxyz66273_gkTQhOevxlARVqj19uLuZY91-mqCx5X8g_H00</recordid><startdate>19990101</startdate><enddate>19990101</enddate><creator>Dilthey, Ulrich</creator><creator>Dickersbach, Jörg</creator><general>The Iron and Steel Institute of Japan</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>19990101</creationdate><title>Application of Neural Networks for Quality Evaluation of Resistance Spot Welds</title><author>Dilthey, Ulrich ; Dickersbach, Jörg</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c554t-ba8a62c2c46ad72b1c11fea4969cd5950d942074e28bf435214551ece189ed403</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>electrode wear</topic><topic>neural networks</topic><topic>parameter variations</topic><topic>quality evaluation</topic><topic>resistance spotwelding</topic><topic>steel</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Dilthey, Ulrich</creatorcontrib><creatorcontrib>Dickersbach, Jörg</creatorcontrib><collection>CrossRef</collection><jtitle>ISIJ International</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Dilthey, Ulrich</au><au>Dickersbach, Jörg</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Application of Neural Networks for Quality Evaluation of Resistance Spot Welds</atitle><jtitle>ISIJ International</jtitle><addtitle>ISIJ Int.</addtitle><date>1999-01-01</date><risdate>1999</risdate><volume>39</volume><issue>10</issue><spage>1061</spage><epage>1066</epage><pages>1061-1066</pages><issn>0915-1559</issn><eissn>1347-5460</eissn><abstract>A neural network based system was developed to perform non-destructive quality evaluation of spot welds. The spot welds are classified with a high reliability of 100 %, taking variations of the welding parameters and electrode wear into account. The classification was carried out by the means of preprocessed data from the course of welding current and voltage.</abstract><pub>The Iron and Steel Institute of Japan</pub><doi>10.2355/isijinternational.39.1061</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 0915-1559
ispartof ISIJ International, 1999/10/15, Vol.39(10), pp.1061-1066
issn 0915-1559
1347-5460
language eng
recordid cdi_crossref_primary_10_2355_isijinternational_39_1061
source J-STAGE Free; EZB-FREE-00999 freely available EZB journals; Free Full-Text Journals in Chemistry
subjects electrode wear
neural networks
parameter variations
quality evaluation
resistance spotwelding
steel
title Application of Neural Networks for Quality Evaluation of Resistance Spot Welds
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-15T02%3A37%3A20IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstage_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Application%20of%20Neural%20Networks%20for%20Quality%20Evaluation%20of%20Resistance%20Spot%20Welds&rft.jtitle=ISIJ%20International&rft.au=Dilthey,%20Ulrich&rft.date=1999-01-01&rft.volume=39&rft.issue=10&rft.spage=1061&rft.epage=1066&rft.pages=1061-1066&rft.issn=0915-1559&rft.eissn=1347-5460&rft_id=info:doi/10.2355/isijinternational.39.1061&rft_dat=%3Cjstage_cross%3Earticle_isijinternational1989_39_10_39_10_1061_article_char_en%3C/jstage_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true