{"id":"https://openalex.org/W4285298998","doi":"https://doi.org/10.1109/tim.2022.3181894","title":"Self-Adaptation Graph Attention Network via Meta-Learning for Machinery Fault Diagnosis With Few Labeled Data","display_name":"Self-Adaptation Graph Attention Network via Meta-Learning for Machinery Fault Diagnosis With Few Labeled Data","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285298998","doi":"https://doi.org/10.1109/tim.2022.3181894"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3181894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3181894","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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/A5043140947","display_name":"Jianyu Long","orcid":"https://orcid.org/0000-0002-5173-1159"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianyu Long","raw_affiliation_strings":["School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-5173-1159","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020760438","display_name":"Rongxin Zhang","orcid":"https://orcid.org/0000-0003-2852-1206"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rongxin Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China","Shenzhen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-2852-1206","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]},{"raw_affiliation_string":"Shenzhen University, Shenzhen, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091588045","display_name":"Zhe Yang","orcid":"https://orcid.org/0000-0002-4881-0008"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhe Yang","raw_affiliation_strings":["School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-4881-0008","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045740528","display_name":"Yunwei Huang","orcid":"https://orcid.org/0000-0002-0411-799X"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunwei Huang","raw_affiliation_strings":["School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-0411-799X","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058045835","display_name":"Yu Liu","orcid":"https://orcid.org/0000-0002-5518-8464"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210107785","display_name":"China Spallation Neutron Source","ror":"https://ror.org/01g140v14","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210107785","https://openalex.org/I4210137180"]},{"id":"https://openalex.org/I4210137180","display_name":"Institute of High Energy Physics","ror":"https://ror.org/03v8tnc06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210137180"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of High Energy Physics, Beijing, China","Spallation Neutron Source Science Centre, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-5518-8464","affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of High Energy Physics, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210137180"]},{"raw_affiliation_string":"Spallation Neutron Source Science Centre, Dongguan, China","institution_ids":["https://openalex.org/I4210107785"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100404427","display_name":"Chuan Li","orcid":"https://orcid.org/0000-0003-0004-1497"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chuan Li","raw_affiliation_strings":["School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0003-0004-1497","affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":6.2175,"has_fulltext":false,"cited_by_count":51,"citation_normalized_percentile":{"value":0.96907207,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9739999771118164,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9584000110626221,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.77344810962677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.559725821018219},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5306308269500732},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5261905789375305},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5196765065193176},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4596625566482544},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4311114251613617},{"id":"https://openalex.org/keywords/meta-learning","display_name":"Meta learning (computer science)","score":0.4138437807559967},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2774871289730072},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.08330833911895752}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.77344810962677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.559725821018219},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5306308269500732},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5261905789375305},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5196765065193176},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4596625566482544},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4311114251613617},{"id":"https://openalex.org/C2781002164","wikidata":"https://www.wikidata.org/wiki/Q6822311","display_name":"Meta learning (computer science)","level":3,"score":0.4138437807559967},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2774871289730072},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.08330833911895752},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","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":1,"locations":[{"id":"doi:10.1109/tim.2022.3181894","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3181894","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G1687578602","display_name":null,"funder_award_id":"72171049","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4864091059","display_name":null,"funder_award_id":"52175080","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7473214046","display_name":null,"funder_award_id":"2019B1515120095","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G8074924352","display_name":"\u57fa\u4e8e\u751f\u4ea7\u4e0d\u786e\u5b9a\u6027\u6982\u7387\u9884\u6d4b\u7684\u8f66\u95f4\u591a\u5c3a\u5ea6\u5b9e\u65f6\u9c81\u68d2\u8c03\u5ea6\u65b9\u6cd5\u7814\u7a76","funder_award_id":"71801046","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8872710766","display_name":null,"funder_award_id":"52005103","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/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W2341973567","https://openalex.org/W2907492528","https://openalex.org/W2934649617","https://openalex.org/W2942245950","https://openalex.org/W2943605315","https://openalex.org/W2963017889","https://openalex.org/W2967115638","https://openalex.org/W2967625104","https://openalex.org/W2973093569","https://openalex.org/W3000835335","https://openalex.org/W3005486352","https://openalex.org/W3012040475","https://openalex.org/W3014641072","https://openalex.org/W3019166713","https://openalex.org/W3031696893","https://openalex.org/W3043257050","https://openalex.org/W3048029529","https://openalex.org/W3083796308","https://openalex.org/W3086154751","https://openalex.org/W3092053846","https://openalex.org/W3095111674","https://openalex.org/W3095770430","https://openalex.org/W3110385569","https://openalex.org/W3110510730","https://openalex.org/W3118534614","https://openalex.org/W3121022549","https://openalex.org/W3126618193","https://openalex.org/W3128553897","https://openalex.org/W3135822842","https://openalex.org/W3151965712","https://openalex.org/W3154934604","https://openalex.org/W3157039246","https://openalex.org/W3172785475","https://openalex.org/W3174159092","https://openalex.org/W3196119092","https://openalex.org/W3197457608","https://openalex.org/W3199793489","https://openalex.org/W3201593645","https://openalex.org/W3217212503","https://openalex.org/W4200165678","https://openalex.org/W4200312990","https://openalex.org/W4225709684","https://openalex.org/W4288058759","https://openalex.org/W6717697761","https://openalex.org/W6726873649","https://openalex.org/W6728255800","https://openalex.org/W6735236233","https://openalex.org/W6736057607","https://openalex.org/W6738964360","https://openalex.org/W6745537798","https://openalex.org/W6745625233"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W2997567050","https://openalex.org/W2037549926","https://openalex.org/W2345479200","https://openalex.org/W2183306018","https://openalex.org/W2849310602","https://openalex.org/W3006008237","https://openalex.org/W2419146053","https://openalex.org/W4388890789","https://openalex.org/W2088247287"],"abstract_inverted_index":{"Effective":[0],"application":[1],"of":[2,51,94,107],"fault":[3,9,83],"diagnosis":[4,57,84],"models":[5],"requires":[6],"that":[7],"new":[8],"types":[10],"can":[11,77],"be":[12],"recognized":[13],"rapidly":[14,78],"after":[15],"they":[16],"occur":[17],"few":[18,88],"times,":[19],"even":[20],"only":[21,87],"one":[22],"time.":[23],"To":[24,91],"this":[25],"end,":[26],"a":[27,40,67,110,154,158,162],"self-adaptation":[28,111],"graph":[29,112],"attention":[30,113,137],"network":[31,114],"via":[32],"meta-learning":[33,62],"(SGANM)":[34],"is":[35,59,63,116],"proposed.":[36],"Specifically,":[37],"based":[38],"on":[39,153],"collected":[41,160],"large-scale":[42],"labeled":[43,89],"dataset":[44,156,159],"containing":[45,86],"abundant":[46,70],"disjoint":[47],"categories":[48,53],"(i.e.,":[49],"any":[50],"the":[52,55,75,81,95,98,101,120,142,173,178],"in":[54,100],"target":[56,82],"task":[58,85],"not":[60],"contained),":[61],"used":[64],"to":[65,80,118,177],"train":[66],"meta-learner":[68,76,144],"across":[69],"randomly":[71],"generated":[72],"meta-tasks,":[73],"and":[74,104,134,157,166],"generalize":[79],"samples.":[90],"full":[92],"exploitation":[93],"relationships":[96],"among":[97],"samples":[99],"support":[102],"set":[103,106],"query":[105],"each":[108],"meta-task,":[109],"(SGAN)":[115],"designed":[117],"realize":[119],"meta-learner.":[121],"The":[122],"effective":[123],"strategies":[124],"including":[125],"spatial-temporal":[126],"graph-based":[127],"node":[128],"initial":[129],"embedding,":[130,133],"two-dimensional":[131],"edge":[132],"multi-head":[135],"masked":[136],"mechanism-based":[138],"embedding":[139],"propagating":[140],"make":[141],"proposed":[143,174],"have":[145],"powerful":[146],"meta-knowledge":[147],"learning":[148,181],"ability.":[149],"Experiments":[150],"are":[151],"conducted":[152],"benchmark":[155],"from":[161],"practical":[163],"experimental":[164],"platform,":[165],"competitive":[167],"performance":[168],"has":[169],"been":[170],"achieved":[171],"by":[172],"SGANM":[175],"compared":[176],"other":[179],"few-shot":[180],"algorithms.":[182]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":5}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
