{"id":"https://openalex.org/W3204820426","doi":"https://doi.org/10.1109/case49439.2021.9551440","title":"Integration of Digital Twin and Machine Learning for Geometric Feature Online Inspection System","display_name":"Integration of Digital Twin and Machine Learning for Geometric Feature Online Inspection System","publication_year":2021,"publication_date":"2021-08-23","ids":{"openalex":"https://openalex.org/W3204820426","doi":"https://doi.org/10.1109/case49439.2021.9551440","mag":"3204820426"},"language":"en","primary_location":{"id":"doi:10.1109/case49439.2021.9551440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110811154","display_name":"Xiangyu Bao","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyu Bao","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711694","display_name":"Liang Chen","orcid":"https://orcid.org/0000-0002-6718-9261"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chen","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101951424","display_name":"Wenqiang Yang","orcid":"https://orcid.org/0000-0003-0733-7717"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenqiang Yang","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5033085089","display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-1803-8678"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Institute of Smart Manufacturing and Information Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Institute of Smart Manufacturing and Information Engineering, School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110811154"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.18309347,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"746","last_page":"751"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10763","display_name":"Digital Transformation in Industry","score":0.9962000250816345,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11159","display_name":"Manufacturing Process and Optimization","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9659000039100647,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7240215539932251},{"id":"https://openalex.org/keywords/fixture","display_name":"Fixture","score":0.6459844708442688},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5634037256240845},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5194591879844666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4937628209590912},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.46996232867240906},{"id":"https://openalex.org/keywords/welding","display_name":"Welding","score":0.4580397307872772},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.4327978789806366},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3400724530220032},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.22147926688194275}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7240215539932251},{"id":"https://openalex.org/C2781122048","wikidata":"https://www.wikidata.org/wiki/Q15983064","display_name":"Fixture","level":2,"score":0.6459844708442688},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5634037256240845},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5194591879844666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4937628209590912},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.46996232867240906},{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.4580397307872772},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.4327978789806366},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3400724530220032},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.22147926688194275},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/case49439.2021.9551440","is_oa":false,"landing_page_url":"https://doi.org/10.1109/case49439.2021.9551440","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE 17th International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G498823563","display_name":null,"funder_award_id":"2020YFB1710802","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7963298718","display_name":null,"funder_award_id":"52075338","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W2004313405","https://openalex.org/W2015974984","https://openalex.org/W2042528732","https://openalex.org/W2076253963","https://openalex.org/W2132706350","https://openalex.org/W2518003110","https://openalex.org/W2606656271","https://openalex.org/W2791049871","https://openalex.org/W2793395501"],"related_works":["https://openalex.org/W2076018311","https://openalex.org/W4385900761","https://openalex.org/W2380777809","https://openalex.org/W4210432190","https://openalex.org/W4385561830","https://openalex.org/W390748187","https://openalex.org/W3132708226","https://openalex.org/W2353571477","https://openalex.org/W1593678795","https://openalex.org/W2371026621"],"abstract_inverted_index":{"The":[0,41,75],"effective":[1],"control":[2,46,97],"of":[3,12,22,56,72,82,98],"the":[4,9,13,16,33,70,80],"welding":[5,23,99],"quality":[6],"can":[7],"ensure":[8],"overall":[10],"performance":[11],"product.":[14],"For":[15],"geometric":[17],"feature":[18],"online":[19],"inspection":[20],"system":[21],"process,":[24],"this":[25],"paper":[26,42],"used":[27],"digital":[28,83],"twin":[29,84],"technology":[30],"to":[31],"realize":[32],"mapping":[34],"integration":[35,81],"between":[36],"physical":[37],"and":[38,59,85,95],"virtual":[39],"workshop.":[40],"also":[43],"proposed":[44],"a":[45,89],"chart":[47],"pattern":[48],"recognition":[49],"method":[50],"based":[51],"on":[52],"distance":[53],"mode":[54],"profile":[55],"time":[57],"series":[58],"convolutional":[60],"neural":[61],"network,":[62],"along":[63],"with":[64],"an":[65],"ensemble":[66],"learning":[67,87],"model":[68],"for":[69,92],"decision":[71],"fixture":[73],"adjustment.":[74],"experiment":[76],"results":[77],"show":[78],"that":[79],"machine":[86],"provides":[88],"feasible":[90],"way":[91],"real-time":[93],"monitoring":[94],"accurate":[96],"quality.":[100]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-24T08:02:53.985720","created_date":"2025-10-10T00:00:00"}
