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...
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Veröffentlicht in: | ISIJ International 1999/10/15, Vol.39(10), pp.1061-1066 |
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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 |
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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> |
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subjects | electrode wear neural networks parameter variations quality evaluation resistance spotwelding steel |
title | Application of Neural Networks for Quality Evaluation of Resistance Spot Welds |
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