{"id":"https://openalex.org/W4317038506","doi":"https://doi.org/10.1109/tii.2022.3232764","title":"SSCT-Net: A Semisupervised Circular Teacher Network for Defect Detection With Limited Labeled Multiview MFL Samples","display_name":"SSCT-Net: A Semisupervised Circular Teacher Network for Defect Detection With Limited Labeled Multiview MFL Samples","publication_year":2023,"publication_date":"2023-01-17","ids":{"openalex":"https://openalex.org/W4317038506","doi":"https://doi.org/10.1109/tii.2022.3232764"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3232764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3232764","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-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/A5052544605","display_name":"Xiangkai Shen","orcid":"https://orcid.org/0000-0003-3164-2156"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangkai Shen","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3164-2156","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100729536","display_name":"Jinhai Liu","orcid":"https://orcid.org/0000-0002-1256-1337"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinhai Liu","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Processes Industries, Shenyang, China","College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-1256-1337","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Processes Industries, Shenyang, China","institution_ids":["https://openalex.org/I4391767858"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002903770","display_name":"Jiayue Sun","orcid":"https://orcid.org/0000-0002-7774-2606"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiayue Sun","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Processes Industries, Shenyang, China","College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-7774-2606","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Processes Industries, Shenyang, China","institution_ids":["https://openalex.org/I4391767858"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073852078","display_name":"Lin Jiang","orcid":"https://orcid.org/0000-0003-3149-2733"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Jiang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-3149-2733","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024294536","display_name":"He Zhao","orcid":"https://orcid.org/0000-0002-0706-2015"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"He Zhao","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-0706-2015","affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625792","display_name":"Huaguang Zhang","orcid":"https://orcid.org/0000-0002-2375-9824"},"institutions":[{"id":"https://openalex.org/I4391767858","display_name":"State Key Laboratory of Synthetical Automation for Process Industries","ror":"https://ror.org/0380ng272","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767858","https://openalex.org/I9224756"]},{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huaguang Zhang","raw_affiliation_strings":["State Key Laboratory of Synthetical Automation for Processes Industries, Shenyang, China","College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2375-9824","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Synthetical Automation for Processes Industries, Shenyang, China","institution_ids":["https://openalex.org/I4391767858"]},{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1026,"has_fulltext":false,"cited_by_count":36,"citation_normalized_percentile":{"value":0.94932233,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"19","issue":"10","first_page":"10114","last_page":"10124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12169","display_name":"Non-Destructive Testing Techniques","score":1.0,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":1.0,"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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9983000159263611,"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/T10662","display_name":"Ultrasonics and Acoustic Wave Propagation","score":0.9980999827384949,"subfield":{"id":"https://openalex.org/subfields/2211","display_name":"Mechanics of Materials"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.6693800091743469},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.6185122132301331},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6037098169326782},{"id":"https://openalex.org/keywords/magnetic-flux-leakage","display_name":"Magnetic flux leakage","score":0.6006244421005249},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5855684876441956},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.579376220703125},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5454010963439941},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46029481291770935},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1628226935863495},{"id":"https://openalex.org/keywords/electromagnetic-coil","display_name":"Electromagnetic coil","score":0.10559096932411194}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6693800091743469},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.6185122132301331},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6037098169326782},{"id":"https://openalex.org/C20892748","wikidata":"https://www.wikidata.org/wiki/Q4390394","display_name":"Magnetic flux leakage","level":3,"score":0.6006244421005249},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5855684876441956},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.579376220703125},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5454010963439941},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46029481291770935},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1628226935863495},{"id":"https://openalex.org/C30403606","wikidata":"https://www.wikidata.org/wiki/Q2981904","display_name":"Electromagnetic coil","level":2,"score":0.10559096932411194},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3232764","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3232764","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1451900309","display_name":null,"funder_award_id":"N2104020","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G2587347264","display_name":null,"funder_award_id":"U21A20481","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G524500553","display_name":null,"funder_award_id":"61973071","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5856693318","display_name":null,"funder_award_id":"XLYC2002046","funder_id":"https://openalex.org/F4320329895","funder_display_name":"Liaoning Revitalization Talents Program"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329895","display_name":"Liaoning Revitalization Talents Program","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W594248771","https://openalex.org/W2246035736","https://openalex.org/W2590822257","https://openalex.org/W2595750449","https://openalex.org/W2744001352","https://openalex.org/W2803086989","https://openalex.org/W2897135094","https://openalex.org/W2952229419","https://openalex.org/W2953070460","https://openalex.org/W2953528808","https://openalex.org/W2962369866","https://openalex.org/W2963125010","https://openalex.org/W2963521811","https://openalex.org/W2969985801","https://openalex.org/W2978426779","https://openalex.org/W3008372443","https://openalex.org/W3119635706","https://openalex.org/W3130692359","https://openalex.org/W3134416725","https://openalex.org/W3137158201","https://openalex.org/W3168099128","https://openalex.org/W3205500251","https://openalex.org/W3208238113","https://openalex.org/W4210408213","https://openalex.org/W4291652739","https://openalex.org/W4293704401","https://openalex.org/W4312875392","https://openalex.org/W6623329352","https://openalex.org/W6733814495","https://openalex.org/W6762913911","https://openalex.org/W6765939562","https://openalex.org/W6802864417"],"related_works":["https://openalex.org/W4383333701","https://openalex.org/W3005508687","https://openalex.org/W803998858","https://openalex.org/W2081900870","https://openalex.org/W2142368441","https://openalex.org/W2053047536","https://openalex.org/W2354373366","https://openalex.org/W746620061","https://openalex.org/W1517924989","https://openalex.org/W226057534"],"abstract_inverted_index":{"Deep":[0],"learning":[1,96],"methods":[2,198],"have":[3],"demonstrated":[4],"promising":[5,203],"performance":[6],"in":[7,21,64,78,149,173],"magnetic":[8],"flux":[9],"leakage":[10],"(MFL)":[11],"defect":[12,44,53,147],"detection":[13,45,54,148,184],"under":[14],"adequate":[15,25],"amounts":[16,26],"of":[17,27,85,134,206],"labeled":[18,28,38,166,189],"samples.":[19],"However,":[20],"industrial":[22],"occasions,":[23],"obtaining":[24],"samples":[29,39,136],"is":[30,62,76,97,112,144,192],"time-consuming":[31],"and":[32,34,114,121,163,167,175,199],"expensive,":[33],"applying":[35],"only":[36,187],"limited":[37],"can":[40,89,137,154,181],"lead":[41],"to":[42,201],"unsatisfactory":[43],"accuracy.":[46],"To":[47],"address":[48],"the":[49,82,100,124,131,141,196,207],"above":[50],"issues,":[51],"a":[52,68,107,156,202],"method":[55,153],"named":[56],"semisupervised":[57,94,104],"circular":[58,95,105,127],"teacher":[59],"network":[60,72],"(SSCT-Net)":[61],"proposed":[63,77,98,125,152,208],"this":[65],"article.":[66],"First,":[67],"parallel":[69],"feature":[70,109],"extraction":[71],"with":[73,186],"hybrid":[74],"attention":[75],"SSCT-Net":[79,180],"so":[80,129],"that":[81,130,179],"useful":[83],"features":[84],"multiview":[86,160],"MFL":[87,161,169],"signals":[88,162],"be":[90,138],"extracted":[91],"simultaneously.":[92],"Second,":[93],"for":[99,146],"first":[101],"time.":[102],"In":[103],"learning,":[106],"distinguishable":[108],"embedding":[110],"space":[111],"constructed,":[113],"two":[115],"structurally":[116],"identical":[117],"deep":[118],"networks":[119],"cosupervise":[120],"collaborate":[122],"through":[123],"consistent":[126],"strategy":[128],"decision":[132],"bias":[133],"unlabeled":[135,168],"reduced.":[139],"Finally,":[140],"trained":[142],"model":[143],"applied":[145],"practice.":[150],"The":[151,171],"establish":[155],"potential":[157],"connection":[158],"between":[159],"fully":[164],"utilize":[165],"signals.":[170],"experiments":[172],"simulations":[174],"real-world":[176],"applications":[177],"demonstrate":[178],"reach":[182],"92%":[183],"accuracy":[185],"20%":[188],"samples,":[190],"which":[191],"more":[193],"effective":[194],"than":[195],"state-of-the-art":[197],"leads":[200],"practical":[204],"utility":[205],"method.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":6}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2025-10-10T00:00:00"}