{"id":"https://openalex.org/W4206679867","doi":"https://doi.org/10.1109/tnnls.2021.3137172","title":"A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness","display_name":"A Novel Data Augmentation Method Based on CoralGAN for Prediction of Part Surface Roughness","publication_year":2022,"publication_date":"2022-01-07","ids":{"openalex":"https://openalex.org/W4206679867","doi":"https://doi.org/10.1109/tnnls.2021.3137172","pmid":"https://pubmed.ncbi.nlm.nih.gov/34995197"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3137172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3137172","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5107143533","display_name":"Yongqing Wang","orcid":"https://orcid.org/0000-0002-4679-0760"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yongqing Wang","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085025949","display_name":"Mengmeng Niu","orcid":null},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mengmeng Niu","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398300","display_name":"Kuo Liu","orcid":"https://orcid.org/0000-0001-5530-9951"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuo Liu","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034428672","display_name":"Mingrui Shen","orcid":"https://orcid.org/0000-0002-9972-0045"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingrui Shen","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003061565","display_name":"Bo Qin","orcid":"https://orcid.org/0000-0002-7672-6006"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Qin","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100682143","display_name":"Honghui Wang","orcid":"https://orcid.org/0000-0001-9257-2820"},"institutions":[{"id":"https://openalex.org/I27357992","display_name":"Dalian University of Technology","ror":"https://ror.org/023hj5876","country_code":"CN","type":"education","lineage":["https://openalex.org/I27357992"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Honghui Wang","raw_affiliation_strings":["School of Mechanical Engineering, Dalian University of Technology, Dalian, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dalian University of Technology, Dalian, China","institution_ids":["https://openalex.org/I27357992"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5107143533"],"corresponding_institution_ids":["https://openalex.org/I27357992"],"apc_list":null,"apc_paid":null,"fwci":2.2674,"has_fulltext":false,"cited_by_count":18,"citation_normalized_percentile":{"value":0.88477911,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"34","issue":"10","first_page":"7024","last_page":"7033"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9939000010490417,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9939000010490417,"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/T10188","display_name":"Advanced machining processes and optimization","score":0.9878000020980835,"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/T13049","display_name":"Surface Roughness and Optical Measurements","score":0.9417999982833862,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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":0.6984477639198303},{"id":"https://openalex.org/keywords/surface-roughness","display_name":"Surface roughness","score":0.6551657915115356},{"id":"https://openalex.org/keywords/machining","display_name":"Machining","score":0.6123015284538269},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5543081164360046},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5441944599151611},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5238868594169617},{"id":"https://openalex.org/keywords/surface-finish","display_name":"Surface finish","score":0.5011017322540283},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4914344549179077},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4771099388599396},{"id":"https://openalex.org/keywords/surface","display_name":"Surface (topology)","score":0.4465067386627197},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.42049872875213623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3508365750312805},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.32617419958114624},{"id":"https://openalex.org/keywords/mechanical-engineering","display_name":"Mechanical engineering","score":0.2524878978729248},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.16983062028884888},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1411714255809784},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.11104714870452881},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09872651100158691},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.08643081784248352}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6984477639198303},{"id":"https://openalex.org/C107365816","wikidata":"https://www.wikidata.org/wiki/Q114817","display_name":"Surface roughness","level":2,"score":0.6551657915115356},{"id":"https://openalex.org/C523214423","wikidata":"https://www.wikidata.org/wiki/Q192047","display_name":"Machining","level":2,"score":0.6123015284538269},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5543081164360046},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5441944599151611},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5238868594169617},{"id":"https://openalex.org/C71039073","wikidata":"https://www.wikidata.org/wiki/Q3439090","display_name":"Surface finish","level":2,"score":0.5011017322540283},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4914344549179077},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4771099388599396},{"id":"https://openalex.org/C2776799497","wikidata":"https://www.wikidata.org/wiki/Q484298","display_name":"Surface (topology)","level":2,"score":0.4465067386627197},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.42049872875213623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3508365750312805},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32617419958114624},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.2524878978729248},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.16983062028884888},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1411714255809784},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.11104714870452881},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09872651100158691},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.08643081784248352},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3137172","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3137172","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34995197","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34995197","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.699999988079071,"id":"https://metadata.un.org/sdg/14","display_name":"Life below water"}],"awards":[{"id":"https://openalex.org/G1626697860","display_name":null,"funder_award_id":"2018RD05","funder_id":"https://openalex.org/F4320316071","funder_display_name":"Dalian High-Level Talent Innovation Program"}],"funders":[{"id":"https://openalex.org/F4320316071","display_name":"Dalian High-Level Talent Innovation Program","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W61851215","https://openalex.org/W1909101599","https://openalex.org/W1968890847","https://openalex.org/W2040181375","https://openalex.org/W2085963752","https://openalex.org/W2104933073","https://openalex.org/W2125389028","https://openalex.org/W2138857742","https://openalex.org/W2148143831","https://openalex.org/W2896882406","https://openalex.org/W2908062660","https://openalex.org/W2910881901","https://openalex.org/W2938736450","https://openalex.org/W2952193749","https://openalex.org/W2963684088","https://openalex.org/W2979111538","https://openalex.org/W2981037163","https://openalex.org/W2995758361","https://openalex.org/W3000471755","https://openalex.org/W3006871679","https://openalex.org/W3023275964","https://openalex.org/W3036426692","https://openalex.org/W3088162140","https://openalex.org/W3110604489","https://openalex.org/W3111278072","https://openalex.org/W4231109964","https://openalex.org/W4320013936","https://openalex.org/W6675634716","https://openalex.org/W6678815747","https://openalex.org/W6680300913","https://openalex.org/W6685352114","https://openalex.org/W6779669310","https://openalex.org/W6783222542","https://openalex.org/W7023653924"],"related_works":["https://openalex.org/W2386922414","https://openalex.org/W4313638943","https://openalex.org/W1966522691","https://openalex.org/W4304014137","https://openalex.org/W3034740403","https://openalex.org/W2032025132","https://openalex.org/W4297916609","https://openalex.org/W2349732462","https://openalex.org/W2106541163","https://openalex.org/W1988381798"],"abstract_inverted_index":{"Deep":[0],"learning":[1,43],"networks":[2],"can":[3,168],"be":[4],"applied":[5],"to":[6,86,177],"the":[7,17,24,39,47,79,89,93,101,120,129,132,135,144,148,157,165,170],"field":[8,48],"of":[9,12,21,26,41,49,52,73,92,95,119,134,147,173],"intelligent":[10,50],"prediction":[11,51,72,171],"part":[13,53,74,174],"surface":[14,18,54,75,175],"roughness.":[15,55],"However,":[16],"roughness":[19,176],"samples":[20,137,140],"parts":[22],"have":[23,152],"problems":[25],"high":[27],"collection":[28],"cost,":[29],"unbalanced":[30],"categories,":[31],"and":[32,113,138],"complicated":[33],"data":[34,65,112],"distribution,":[35],"which":[36,77],"inevitably":[37],"limit":[38],"application":[40],"deep":[42,83],"network":[44,90,98],"models":[45],"in":[46],"To":[56],"solve":[57],"these":[58],"problems,":[59],"this":[60],"article":[61],"proposes":[62],"a":[63],"novel":[64],"augmentation":[66],"method":[67,82,167],"based":[68],"on":[69,156],"CoralGAN":[70],"for":[71],"roughness,":[76],"introduces":[78],"domain":[80],"adaptive":[81],"coral":[84,125],"function":[85],"help":[87],"optimize":[88],"parameters":[91],"generator":[94,121],"generative":[96],"adversarial":[97],"(GAN).":[99],"Specifically,":[100],"vibration":[102],"signal":[103],"collected":[104],"during":[105],"processing":[106],"is":[107,122],"converted":[108],"into":[109,115],"frequency":[110],"spectrum":[111],"input":[114],"CoralGAN.":[116],"The":[117],"training":[118],"guided":[123],"by":[124],"loss,":[126],"that":[127,164],"is,":[128],"distance":[130],"between":[131],"covariances":[133],"real":[136],"generated":[139],"features,":[141],"not":[142],"just":[143],"statistical":[145],"consistency":[146],"traditional":[149],"GAN.":[150],"Experiments":[151],"been":[153],"carried":[154],"out":[155],"three-axis":[158],"vertical":[159],"machining":[160],"center.":[161],"Research":[162],"shows":[163],"proposed":[166],"improve":[169],"accuracy":[172],"95.5%.":[178]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
