{"id":"https://openalex.org/W1645996362","doi":"https://doi.org/10.1109/coase.2015.7294310","title":"Welding parameter optimization based on Gaussian process regression Bayesian optimization algorithm","display_name":"Welding parameter optimization based on Gaussian process regression Bayesian optimization algorithm","publication_year":2015,"publication_date":"2015-08-01","ids":{"openalex":"https://openalex.org/W1645996362","doi":"https://doi.org/10.1109/coase.2015.7294310","mag":"1645996362"},"language":"en","primary_location":{"id":"doi:10.1109/coase.2015.7294310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5066188116","display_name":"Dillon Sterling","orcid":null},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dillon Sterling","raw_affiliation_strings":["The Ingram School of Engineering, Texas State University","[Ingram School of Engineering, Texas State University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ingram School of Engineering, Texas State University","institution_ids":["https://openalex.org/I13511017"]},{"raw_affiliation_string":"[Ingram School of Engineering, Texas State University]","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053198795","display_name":"Tyler C. Sterling","orcid":"https://orcid.org/0000-0002-6517-1391"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tyler Sterling","raw_affiliation_strings":["The Ingram School of Engineering, Texas State University","[Ingram School of Engineering, Texas State University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ingram School of Engineering, Texas State University","institution_ids":["https://openalex.org/I13511017"]},{"raw_affiliation_string":"[Ingram School of Engineering, Texas State University]","institution_ids":["https://openalex.org/I13511017"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005715004","display_name":"Yuming Zhang","orcid":"https://orcid.org/0000-0002-4313-2498"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"YuMing Zhang","raw_affiliation_strings":["The Department of Electrical and Computer Engineering, University of Kentucky","Department of Electrical & Computer Engineering, University of Kentucky#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Department of Electrical and Computer Engineering, University of Kentucky","institution_ids":["https://openalex.org/I143302722"]},{"raw_affiliation_string":"Department of Electrical & Computer Engineering, University of Kentucky#TAB#","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101688278","display_name":"Heping Chen","orcid":"https://orcid.org/0000-0002-1045-8977"},"institutions":[{"id":"https://openalex.org/I13511017","display_name":"Texas State University","ror":"https://ror.org/05h9q1g27","country_code":"US","type":"education","lineage":["https://openalex.org/I13511017"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heping Chen","raw_affiliation_strings":["The Ingram School of Engineering, Texas State University","[Ingram School of Engineering, Texas State University]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Ingram School of Engineering, Texas State University","institution_ids":["https://openalex.org/I13511017"]},{"raw_affiliation_string":"[Ingram School of Engineering, Texas State University]","institution_ids":["https://openalex.org/I13511017"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":28,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1490","last_page":"1496"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9957000017166138,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.9803000092506409,"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/welding","display_name":"Welding","score":0.8700979948043823},{"id":"https://openalex.org/keywords/gas-tungsten-arc-welding","display_name":"Gas tungsten arc welding","score":0.5757012367248535},{"id":"https://openalex.org/keywords/arc-welding","display_name":"Arc welding","score":0.5193272829055786},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5160465240478516},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.46721258759498596},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.45435631275177},{"id":"https://openalex.org/keywords/kriging","display_name":"Kriging","score":0.4485876262187958},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.3084554672241211},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.24960744380950928},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14282876253128052}],"concepts":[{"id":"https://openalex.org/C19474535","wikidata":"https://www.wikidata.org/wiki/Q131172","display_name":"Welding","level":2,"score":0.8700979948043823},{"id":"https://openalex.org/C3450827","wikidata":"https://www.wikidata.org/wiki/Q1627310","display_name":"Gas tungsten arc welding","level":4,"score":0.5757012367248535},{"id":"https://openalex.org/C20480867","wikidata":"https://www.wikidata.org/wiki/Q422937","display_name":"Arc welding","level":3,"score":0.5193272829055786},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5160465240478516},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46721258759498596},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.45435631275177},{"id":"https://openalex.org/C81692654","wikidata":"https://www.wikidata.org/wiki/Q225926","display_name":"Kriging","level":2,"score":0.4485876262187958},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.3084554672241211},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.24960744380950928},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14282876253128052},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/coase.2015.7294310","is_oa":false,"landing_page_url":"https://doi.org/10.1109/coase.2015.7294310","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2015 IEEE International Conference on Automation Science and Engineering (CASE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W69260380","https://openalex.org/W115795130","https://openalex.org/W150790229","https://openalex.org/W157259654","https://openalex.org/W1591505807","https://openalex.org/W1746819321","https://openalex.org/W1967778950","https://openalex.org/W1979211426","https://openalex.org/W2016930536","https://openalex.org/W2041508465","https://openalex.org/W2055648192","https://openalex.org/W2064649305","https://openalex.org/W2112930721","https://openalex.org/W2129298951","https://openalex.org/W2135352986","https://openalex.org/W2139630381","https://openalex.org/W2139929624","https://openalex.org/W2468462628","https://openalex.org/W3083135905","https://openalex.org/W3093497672","https://openalex.org/W3121478259","https://openalex.org/W4211049957","https://openalex.org/W6602847354","https://openalex.org/W6604772522","https://openalex.org/W6606033267","https://openalex.org/W6629804754","https://openalex.org/W6719982585"],"related_works":["https://openalex.org/W4280568581","https://openalex.org/W2617048408","https://openalex.org/W2386293698","https://openalex.org/W3210403842","https://openalex.org/W2609619381","https://openalex.org/W2640491809","https://openalex.org/W4239399443","https://openalex.org/W2388792727","https://openalex.org/W1595936894","https://openalex.org/W2378688456"],"abstract_inverted_index":{"In":[0,63],"welding":[1,3,22,29,40,61,77,81,97,107,131],"processes,":[2],"parameters":[4,41],"have":[5,55],"a":[6],"significant":[7],"impact":[8],"on":[9],"weld":[10,50],"quality":[11],"and":[12,80,92,95,110,153],"mechanical":[13],"properties":[14],"of":[15,116],"welded":[16],"joints.":[17],"For":[18],"example,":[19],"if":[20],"the":[21,28,73,76,90,103,111,114,117,122,125,130,150],"current":[23,53],"is":[24,69,86],"not":[25],"tuned":[26],"properly,":[27],"arc":[30,106],"becomes":[31],"unstable":[32],"which":[33,147],"will":[34,148],"cause":[35],"an":[36],"unacceptable":[37],"weld.":[38],"Therefore":[39],"must":[42],"be":[43,138],"optimized":[44],"in":[45,58],"order":[46],"to":[47,71,88,121],"achieve":[48],"best":[49],"quality.":[51],"However":[52],"methods":[54,146],"many":[56],"limitations":[57],"exploring":[59],"optimal":[60],"parameters.":[62,82,98],"this":[64],"paper,":[65],"Gaussian":[66],"Process":[67],"Regression":[68],"applied":[70,139],"model":[72],"relationship":[74],"between":[75],"performance":[78],"indices":[79],"Bayesian":[83],"Optimization":[84],"Algorithm":[85],"adopted":[87],"balance":[89],"modeling":[91],"optimization":[93,133],"processes":[94],"optimize":[96],"Experiments":[99],"were":[100],"performed":[101],"for":[102],"Gas":[104],"tungsten":[105],"(GTAW)":[108],"process":[109],"results":[112],"demonstrate":[113],"effectiveness":[115],"proposed":[118,126],"algorithm.":[119],"Compared":[120],"existing":[123,145],"methods,":[124],"method":[127],"greatly":[128],"improves":[129],"parameter":[132],"process;":[134],"moreover":[135],"it":[136],"can":[137],"with":[140,144],"fewer":[141],"experiments":[142],"compared":[143],"reduce":[149],"testing":[151],"cost":[152],"effort.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}