Correction to: Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals

Saved in:
Bibliographic Details
Published in:International journal of precision engineering and manufacturing 2022, Vol.23 (10), p.1225-1225
Main Authors: Svinth, Christian N., Wallace, Scott, Stephenson, Daniel B., Kim, Dave, Shin, Kangwoo, Kim, Hyo-Young, Lee, Seok-Woo, Kim, Tae-Gon
Format: Article
Language:English
Subjects:
Correction
Engineering
Industrial and Production Engineering
Materials Science
Citations: Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c2083-d3e0c5b062614001148fe7b69f46c458712e16c45bad19dde8ce4c8e2126595c3
cites
container_end_page 1225
container_issue 10
container_start_page 1225
container_title International journal of precision engineering and manufacturing
container_volume 23
creator Svinth, Christian N.
Wallace, Scott
Stephenson, Daniel B.
Kim, Dave
Shin, Kangwoo
Kim, Hyo-Young
Lee, Seok-Woo
Kim, Tae-Gon
description
doi_str_mv 10.1007/s12541-022-00686-3
format article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2719457978</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2719457978</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2083-d3e0c5b062614001148fe7b69f46c458712e16c45bad19dde8ce4c8e2126595c3</originalsourceid><addsrcrecordid>eNp9UU1LAzEQXURBqf4BTwGvjeZ7d73VxWqhoKj1Gnazs22kJjXZCv4Y_6vZVvDmaWaY99485mXZOSWXlJD8KlImBcWEMUyIKhTmB9kJI0RioQg7TD3jAuey5MfZWYy2IZwyxWWhTrLvyocAprfeod5fo1kLrrfdl3VLNGmcD-_1GlXTp0d079cQ0SIOmxvfr9DCxe0GwqeN0KLatej5b5xDHdyAfAGzcvZjm6jpwszhx-ANxIimPhgYo2qbzrt-vBN4tU2od1ae7dLV63iaHXWpwNlvHWWL6e1LdY_nD3ezajLHhpGC45YDMbIhiikqCKFUFB3kjSo7oYyQRU4Z0KFr6paWbQuFAWEKYOkNspSGj7KLve4m-MFrr9_8NgwONMtpKWRe5kVCsT3KBB9jgE5vgn2vw5emRA9J6H0SOiWhd0lonkh8T4oJ7JYQ_qT_Yf0AZu2MhQ</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2719457978</pqid></control><display><type>article</type><title>Correction to: Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals</title><source>Springer Link</source><creator>Svinth, Christian N. ; Wallace, Scott ; Stephenson, Daniel B. ; Kim, Dave ; Shin, Kangwoo ; Kim, Hyo-Young ; Lee, Seok-Woo ; Kim, Tae-Gon</creator><creatorcontrib>Svinth, Christian N. ; Wallace, Scott ; Stephenson, Daniel B. ; Kim, Dave ; Shin, Kangwoo ; Kim, Hyo-Young ; Lee, Seok-Woo ; Kim, Tae-Gon</creatorcontrib><identifier>ISSN: 2234-7593</identifier><identifier>EISSN: 2005-4602</identifier><identifier>DOI: 10.1007/s12541-022-00686-3</identifier><language>eng</language><publisher>Seoul: Korean Society for Precision Engineering</publisher><subject>Correction ; Engineering ; Industrial and Production Engineering ; Materials Science</subject><ispartof>International journal of precision engineering and manufacturing, 2022, Vol.23 (10), p.1225-1225</ispartof><rights>The Author(s), under exclusive licence to Korean Society for Precision Engineering 2022</rights><rights>The Author(s), under exclusive licence to Korean Society for Precision Engineering 2022.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2083-d3e0c5b062614001148fe7b69f46c458712e16c45bad19dde8ce4c8e2126595c3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Svinth, Christian N.</creatorcontrib><creatorcontrib>Wallace, Scott</creatorcontrib><creatorcontrib>Stephenson, Daniel B.</creatorcontrib><creatorcontrib>Kim, Dave</creatorcontrib><creatorcontrib>Shin, Kangwoo</creatorcontrib><creatorcontrib>Kim, Hyo-Young</creatorcontrib><creatorcontrib>Lee, Seok-Woo</creatorcontrib><creatorcontrib>Kim, Tae-Gon</creatorcontrib><title>Correction to: Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals</title><title>International journal of precision engineering and manufacturing</title><addtitle>Int. J. Precis. Eng. Manuf</addtitle><subject>Correction</subject><subject>Engineering</subject><subject>Industrial and Production Engineering</subject><subject>Materials Science</subject><issn>2234-7593</issn><issn>2005-4602</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2022</creationdate><recordtype>article</recordtype><recordid>eNp9UU1LAzEQXURBqf4BTwGvjeZ7d73VxWqhoKj1Gnazs22kJjXZCv4Y_6vZVvDmaWaY99485mXZOSWXlJD8KlImBcWEMUyIKhTmB9kJI0RioQg7TD3jAuey5MfZWYy2IZwyxWWhTrLvyocAprfeod5fo1kLrrfdl3VLNGmcD-_1GlXTp0d079cQ0SIOmxvfr9DCxe0GwqeN0KLatej5b5xDHdyAfAGzcvZjm6jpwszhx-ANxIimPhgYo2qbzrt-vBN4tU2od1ae7dLV63iaHXWpwNlvHWWL6e1LdY_nD3ezajLHhpGC45YDMbIhiikqCKFUFB3kjSo7oYyQRU4Z0KFr6paWbQuFAWEKYOkNspSGj7KLve4m-MFrr9_8NgwONMtpKWRe5kVCsT3KBB9jgE5vgn2vw5emRA9J6H0SOiWhd0lonkh8T4oJ7JYQ_qT_Yf0AZu2MhQ</recordid><startdate>2022</startdate><enddate>2022</enddate><creator>Svinth, Christian N.</creator><creator>Wallace, Scott</creator><creator>Stephenson, Daniel B.</creator><creator>Kim, Dave</creator><creator>Shin, Kangwoo</creator><creator>Kim, Hyo-Young</creator><creator>Lee, Seok-Woo</creator><creator>Kim, Tae-Gon</creator><general>Korean Society for Precision Engineering</general><general>Springer Nature B.V</general><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>2022</creationdate><title>Correction to: Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals</title><author>Svinth, Christian N. ; Wallace, Scott ; Stephenson, Daniel B. ; Kim, Dave ; Shin, Kangwoo ; Kim, Hyo-Young ; Lee, Seok-Woo ; Kim, Tae-Gon</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2083-d3e0c5b062614001148fe7b69f46c458712e16c45bad19dde8ce4c8e2126595c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2022</creationdate><topic>Correction</topic><topic>Engineering</topic><topic>Industrial and Production Engineering</topic><topic>Materials Science</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Svinth, Christian N.</creatorcontrib><creatorcontrib>Wallace, Scott</creatorcontrib><creatorcontrib>Stephenson, Daniel B.</creatorcontrib><creatorcontrib>Kim, Dave</creatorcontrib><creatorcontrib>Shin, Kangwoo</creatorcontrib><creatorcontrib>Kim, Hyo-Young</creatorcontrib><creatorcontrib>Lee, Seok-Woo</creatorcontrib><creatorcontrib>Kim, Tae-Gon</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of precision engineering and manufacturing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Svinth, Christian N.</au><au>Wallace, Scott</au><au>Stephenson, Daniel B.</au><au>Kim, Dave</au><au>Shin, Kangwoo</au><au>Kim, Hyo-Young</au><au>Lee, Seok-Woo</au><au>Kim, Tae-Gon</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correction to: Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals</atitle><jtitle>International journal of precision engineering and manufacturing</jtitle><stitle>Int. J. Precis. Eng. Manuf</stitle><date>2022</date><risdate>2022</risdate><volume>23</volume><issue>10</issue><spage>1225</spage><epage>1225</epage><pages>1225-1225</pages><issn>2234-7593</issn><eissn>2005-4602</eissn><cop>Seoul</cop><pub>Korean Society for Precision Engineering</pub><doi>10.1007/s12541-022-00686-3</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2234-7593
ispartof International journal of precision engineering and manufacturing, 2022, Vol.23 (10), p.1225-1225
issn 2234-7593
2005-4602
language eng
recordid cdi_proquest_journals_2719457978
source Springer Link
subjects Correction
Engineering
Industrial and Production Engineering
Materials Science
title Correction to: Identifying Abnormal CFRP Holes Using Both Unsupervised and Supervised Learning Techniques on In-Process Force, Current, and Vibration Signals
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T07%3A31%3A30IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Correction%20to:%20Identifying%20Abnormal%20CFRP%20Holes%20Using%20Both%20Unsupervised%20and%20Supervised%20Learning%20Techniques%20on%20In-Process%20Force,%20Current,%20and%20Vibration%20Signals&rft.jtitle=International%20journal%20of%20precision%20engineering%20and%20manufacturing&rft.au=Svinth,%20Christian%20N.&rft.date=2022&rft.volume=23&rft.issue=10&rft.spage=1225&rft.epage=1225&rft.pages=1225-1225&rft.issn=2234-7593&rft.eissn=2005-4602&rft_id=info:doi/10.1007/s12541-022-00686-3&rft_dat=%3Cproquest_cross%3E2719457978%3C/proquest_cross%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c2083-d3e0c5b062614001148fe7b69f46c458712e16c45bad19dde8ce4c8e2126595c3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=2719457978&rft_id=info:pmid/&rfr_iscdi=true