{"id":"https://openalex.org/W2979872020","doi":"https://doi.org/10.1109/access.2019.2946062","title":"Defect Enhancement Generative Adversarial Network for Enlarging Data Set of Microcrack Defect","display_name":"Defect Enhancement Generative Adversarial Network for Enlarging Data Set of Microcrack Defect","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2979872020","doi":"https://doi.org/10.1109/access.2019.2946062","mag":"2979872020"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2946062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2946062","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1109/access.2019.2946062","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101939042","display_name":"Song Lin","orcid":"https://orcid.org/0000-0002-7743-4160"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Song Lin","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Soochow University, Soochow, China"],"raw_orcid":"https://orcid.org/0000-0002-7743-4160","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Soochow University, Soochow, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100334005","display_name":"Zhiyong He","orcid":"https://orcid.org/0000-0002-7041-8934"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiyong He","raw_affiliation_strings":["School of Mechanical and Electrical Engineering, Soochow University, Soochow, China"],"raw_orcid":"https://orcid.org/0000-0002-7041-8934","affiliations":[{"raw_affiliation_string":"School of Mechanical and Electrical Engineering, Soochow University, Soochow, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056525426","display_name":"Lining Sun","orcid":"https://orcid.org/0000-0003-3365-8725"},"institutions":[{"id":"https://openalex.org/I204983213","display_name":"Harbin Institute of Technology","ror":"https://ror.org/01yqg2h08","country_code":"CN","type":"education","lineage":["https://openalex.org/I204983213"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lining Sun","raw_affiliation_strings":["School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, China","institution_ids":["https://openalex.org/I204983213"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.2358,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.8961214,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"148413","last_page":"148423"},"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":0.9998000264167786,"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":0.9998000264167786,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9991000294685364,"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/T10834","display_name":"Welding Techniques and Residual Stresses","score":0.9909999966621399,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7096731066703796},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6613686084747314},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.627217173576355},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.6190813779830933},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6053332090377808},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5606687068939209},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.5194967985153198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5048761963844299},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.4868289828300476},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.47855955362319946},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.47746849060058594},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42970138788223267},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34751027822494507},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.33135277032852173},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11253160238265991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7096731066703796},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6613686084747314},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.627217173576355},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.6190813779830933},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6053332090377808},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5606687068939209},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.5194967985153198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5048761963844299},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4868289828300476},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.47855955362319946},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.47746849060058594},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42970138788223267},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34751027822494507},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.33135277032852173},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11253160238265991},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2946062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2946062","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a4d43511e8df4fa5b6e50034d3e797a1","is_oa":true,"landing_page_url":"https://doaj.org/article/a4d43511e8df4fa5b6e50034d3e797a1","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 7, Pp 148413-148423 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2946062","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2946062","pdf_url":null,"source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.6100000143051147}],"awards":[{"id":"https://openalex.org/G2261041392","display_name":null,"funder_award_id":"61473201","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6796358774","display_name":null,"funder_award_id":"61772576","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8301838659","display_name":null,"funder_award_id":"2018YFB1309200","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program 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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1583353576","https://openalex.org/W1686810756","https://openalex.org/W2020931744","https://openalex.org/W2034851609","https://openalex.org/W2070644180","https://openalex.org/W2076844371","https://openalex.org/W2093680491","https://openalex.org/W2097117768","https://openalex.org/W2125389028","https://openalex.org/W2140798947","https://openalex.org/W2163605009","https://openalex.org/W2194775991","https://openalex.org/W2344428106","https://openalex.org/W2405756170","https://openalex.org/W2521028896","https://openalex.org/W2581637843","https://openalex.org/W2618530766","https://openalex.org/W2761391505","https://openalex.org/W2793513544","https://openalex.org/W2794841368","https://openalex.org/W2900198492","https://openalex.org/W2903712458","https://openalex.org/W2949099979","https://openalex.org/W2951523806","https://openalex.org/W2962793481","https://openalex.org/W2963446712","https://openalex.org/W2963684088","https://openalex.org/W2964268978","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6621378261","https://openalex.org/W6637373629","https://openalex.org/W6678815747","https://openalex.org/W6684191040","https://openalex.org/W6685352114","https://openalex.org/W6713645886","https://openalex.org/W6726983635","https://openalex.org/W6727501944","https://openalex.org/W6727862155","https://openalex.org/W6735913928","https://openalex.org/W6779669310"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W3022908591","https://openalex.org/W4377980832","https://openalex.org/W4285706568","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785"],"abstract_inverted_index":{"This":[0,91,100],"paper":[1,92],"presents":[2,93],"a":[3,22,37],"micro":[4],"defect":[5,14,108,147],"data":[6,57,132],"set":[7,133],"expansion":[8,58],"method":[9],"focuses":[10],"on":[11],"the":[12,46,62,118,128],"microcrack":[13,85,104],"of":[15,24,39,48,64,88],"magnetic":[16],"ring.":[17],"Deep":[18],"neural":[19,142],"networks":[20],"require":[21],"mass":[23,38],"training":[25,74],"samples":[26,41,87,120],"to":[27,35,83,127],"be":[28],"fully":[29],"optimized.":[30],"However,":[31,76],"it":[32,77],"is":[33,78],"difficult":[34,79],"obtain":[36],"defective":[40,86,119],"in":[42],"industrial":[43],"field.":[44],"In":[45],"case":[47],"insufficient":[49,73],"samples,":[50],"using":[51],"GANs":[52,82],"(Generative":[53],"Adversarial":[54,97],"Networks)":[55],"for":[56,80],"can":[59,102,138],"effectively":[60],"solve":[61],"problems":[63],"model":[65,101,137],"over-fitting":[66],"and":[67,110,144],"low":[68],"detection":[69,148],"accuracy":[70],"caused":[71],"by":[72,122,135],"samples.":[75],"conventional":[81],"generate":[84,103],"high":[89,111],"quality.":[90],"Defect":[94],"Enhancement":[95],"Generative":[96],"Network":[98],"(DEGAN).":[99],"defects":[105],"with":[106],"obvious":[107],"characteristics":[109],"diversity.":[112],"The":[113,131],"experimental":[114],"results":[115],"show":[116],"that":[117],"generated":[121],"DEGAN":[123],"are":[124],"very":[125],"close":[126],"real":[129],"ones.":[130],"amplified":[134],"this":[136],"significantly":[139],"optimize":[140],"deep":[141],"network":[143],"achieve":[145],"higher":[146],"accuracy.":[149]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
