{"id":"https://openalex.org/W4311791367","doi":"https://doi.org/10.3390/sym14122654","title":"A Domain-Adversarial Multi-Graph Convolutional Network for Unsupervised Domain Adaptation Rolling Bearing Fault Diagnosis","display_name":"A Domain-Adversarial Multi-Graph Convolutional Network for Unsupervised Domain Adaptation Rolling Bearing Fault Diagnosis","publication_year":2022,"publication_date":"2022-12-15","ids":{"openalex":"https://openalex.org/W4311791367","doi":"https://doi.org/10.3390/sym14122654"},"language":"en","primary_location":{"id":"doi:10.3390/sym14122654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14122654","pdf_url":"https://www.mdpi.com/2073-8994/14/12/2654/pdf?version=1671095341","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2073-8994/14/12/2654/pdf?version=1671095341","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100381226","display_name":"Xinran Li","orcid":"https://orcid.org/0000-0003-3226-5719"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinran Li","raw_affiliation_strings":["The School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China"],"raw_orcid":"https://orcid.org/0000-0003-3226-5719","affiliations":[{"raw_affiliation_string":"The School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034115721","display_name":"Wuyin Jin","orcid":"https://orcid.org/0000-0003-3741-3610"},"institutions":[{"id":"https://openalex.org/I22716506","display_name":"Lanzhou University of Technology","ror":"https://ror.org/03panb555","country_code":"CN","type":"education","lineage":["https://openalex.org/I22716506"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wuyin Jin","raw_affiliation_strings":["The School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China"],"raw_orcid":"https://orcid.org/0000-0003-3741-3610","affiliations":[{"raw_affiliation_string":"The School of Mechanical and Electrical Engineering, Lanzhou University of Technology, Lanzhou 730050, China","institution_ids":["https://openalex.org/I22716506"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010888641","display_name":"Xiangyang Xu","orcid":"https://orcid.org/0000-0002-9713-0535"},"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":true,"raw_author_name":"Xiangyang Xu","raw_affiliation_strings":["The School of Rail Transit, Soochow University, Suzhou 215006, China"],"raw_orcid":"https://orcid.org/0000-0002-9713-0535","affiliations":[{"raw_affiliation_string":"The School of Rail Transit, Soochow University, Suzhou 215006, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5081517523","display_name":"Hao Yang","orcid":"https://orcid.org/0000-0001-7883-9808"},"institutions":[{"id":"https://openalex.org/I199305430","display_name":"Nantong University","ror":"https://ror.org/02afcvw97","country_code":"CN","type":"education","lineage":["https://openalex.org/I199305430"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Yang","raw_affiliation_strings":["The School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The School of Transportation and Civil Engineering, Nantong University, Nantong 226019, China","institution_ids":["https://openalex.org/I199305430"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5010888641","https://openalex.org/A5034115721"],"corresponding_institution_ids":["https://openalex.org/I22716506","https://openalex.org/I3923682"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2227},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2227},"fwci":1.0792,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.74590022,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"12","first_page":"2654","last_page":"2654"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9977999925613403,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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/T12252","display_name":"Mechanical stress and fatigue analysis","score":0.9404000043869019,"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"}},{"id":"https://openalex.org/T10809","display_name":"Occupational Health and Safety Research","score":0.9336000084877014,"subfield":{"id":"https://openalex.org/subfields/3614","display_name":"Radiological and Ultrasound Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7558348178863525},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.6036863327026367},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5977922677993774},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.5619642734527588},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5601504445075989},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5110393762588501},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42728865146636963},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4201239347457886},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.22788387537002563},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.13293904066085815}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7558348178863525},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.6036863327026367},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5977922677993774},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5619642734527588},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5601504445075989},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5110393762588501},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42728865146636963},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4201239347457886},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.22788387537002563},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.13293904066085815}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.3390/sym14122654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14122654","pdf_url":"https://www.mdpi.com/2073-8994/14/12/2654/pdf?version=1671095341","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:69318a43e2594db2aeeef17c7a96a67b","is_oa":true,"landing_page_url":"https://doaj.org/article/69318a43e2594db2aeeef17c7a96a67b","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":"Symmetry, Vol 14, Iss 12, p 2654 (2022)","raw_type":"article"},{"id":"pmh:oai:mdpi.com:/2073-8994/14/12/2654/","is_oa":true,"landing_page_url":"https://dx.doi.org/10.3390/sym14122654","pdf_url":null,"source":{"id":"https://openalex.org/S4306400947","display_name":"MDPI (MDPI AG)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210097602","host_organization_name":"Multidisciplinary Digital Publishing Institute (Switzerland)","host_organization_lineage":["https://openalex.org/I4210097602"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Symmetry","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.3390/sym14122654","is_oa":true,"landing_page_url":"https://doi.org/10.3390/sym14122654","pdf_url":"https://www.mdpi.com/2073-8994/14/12/2654/pdf?version=1671095341","source":{"id":"https://openalex.org/S190787756","display_name":"Symmetry","issn_l":"2073-8994","issn":["2073-8994"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Symmetry","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G1507148461","display_name":null,"funder_award_id":"BK20220502","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G3103724146","display_name":null,"funder_award_id":"U1934209","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3920639599","display_name":"\u81ea\u7a81\u89e6\u548c\u566a\u58f0\u9a71\u52a8\u4e0b\u795e\u7ecf\u7cfb\u7edf\u7684\u968f\u673a\u52a8\u529b\u5b66\u95ee\u9898\u7814\u7a76","funder_award_id":"12062009","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/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4311791367.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W1779010541","https://openalex.org/W2010619950","https://openalex.org/W2019505419","https://openalex.org/W2085269372","https://openalex.org/W2158787690","https://openalex.org/W2317595875","https://openalex.org/W2793062918","https://openalex.org/W2805662770","https://openalex.org/W2889945482","https://openalex.org/W2907492528","https://openalex.org/W2919115771","https://openalex.org/W2960996736","https://openalex.org/W2964288524","https://openalex.org/W2965341826","https://openalex.org/W2966813263","https://openalex.org/W2969736276","https://openalex.org/W2990403609","https://openalex.org/W2994835796","https://openalex.org/W2997997679","https://openalex.org/W2998830408","https://openalex.org/W3012040475","https://openalex.org/W3021496598","https://openalex.org/W3092764589","https://openalex.org/W3096237054","https://openalex.org/W3104433444","https://openalex.org/W3110510730","https://openalex.org/W3112611640","https://openalex.org/W3122126208","https://openalex.org/W3157039246","https://openalex.org/W3157123770","https://openalex.org/W3201753566","https://openalex.org/W3213841105","https://openalex.org/W4211058054","https://openalex.org/W4280549546","https://openalex.org/W6637618735","https://openalex.org/W6713955831","https://openalex.org/W6776395470","https://openalex.org/W6794167825"],"related_works":["https://openalex.org/W4391621807","https://openalex.org/W4321487865","https://openalex.org/W4313906399","https://openalex.org/W4391621790","https://openalex.org/W4239306820","https://openalex.org/W4391266461","https://openalex.org/W2590798552","https://openalex.org/W2811106690","https://openalex.org/W2947043951","https://openalex.org/W2400428875"],"abstract_inverted_index":{"The":[0,102,129],"transfer":[1],"learning":[2],"method,":[3],"based":[4],"on":[5,16,52],"unsupervised":[6],"domain":[7,41,103,111],"adaptation":[8],"(UDA),":[9],"has":[10],"been":[11],"broadly":[12],"utilized":[13,108],"in":[14],"research":[15],"fault":[17,158],"diagnosis":[18],"under":[19],"variable":[20],"working":[21],"conditions":[22],"with":[23,142],"certain":[24],"results.":[25],"However,":[26],"traditional":[27],"UDA":[28,144],"methods":[29],"pay":[30],"more":[31],"attention":[32,91],"to":[33,97,109],"extracting":[34],"information":[35,51],"for":[36,65],"the":[37,46,53,119,124,136],"class":[38,114],"labels":[39,42,112],"and":[40,89,105,113,117,131],"of":[43,48,135],"data,":[44],"ignoring":[45],"influence":[47],"data":[49,99,120],"structure":[50,100,121],"extracted":[54],"features.":[55],"Therefore,":[56],"we":[57],"propose":[58],"a":[59],"domain-adversarial":[60],"multi-graph":[61,68],"convolutional":[62,69,75,80,86,92],"network":[63,70],"(DAMGCN)":[64],"UDA.":[66],"A":[67],"(MGCN),":[71],"integrating":[72],"three":[73],"graph":[74,79,90],"layers":[76],"(multi-receptive":[77],"field":[78],"(MRFConv)":[81],"layer,":[82,88],"local":[83],"extreme":[84],"value":[85],"(LEConv)":[87],"(GATConv)":[93],"layer)":[94],"was":[95,138],"used":[96],"mine":[98],"information.":[101],"discriminators":[104],"classifiers":[106],"were":[107],"model":[110],"labels,":[115],"respectively,":[116],"align":[118],"differences":[122],"through":[123],"correlation":[125],"alignment":[126],"(CORAL)":[127],"index.":[128],"classification":[130],"feature":[132],"extraction":[133],"ability":[134],"DAMGCN":[137],"significantly":[139],"enhanced":[140],"compared":[141],"other":[143],"algorithms":[145],"by":[146],"two":[147],"example":[148],"validation":[149],"results,":[150],"which":[151],"can":[152],"effectively":[153],"achieve":[154],"rolling":[155],"bearing":[156],"cross-domain":[157],"diagnosis.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}