{"id":"https://openalex.org/W3176809148","doi":"https://doi.org/10.1109/tcyb.2021.3085476","title":"Transfer Relation Network for Fault Diagnosis of Rotating Machinery With Small Data","display_name":"Transfer Relation Network for Fault Diagnosis of Rotating Machinery With Small Data","publication_year":2021,"publication_date":"2021-06-22","ids":{"openalex":"https://openalex.org/W3176809148","doi":"https://doi.org/10.1109/tcyb.2021.3085476","mag":"3176809148","pmid":"https://pubmed.ncbi.nlm.nih.gov/34156958"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2021.3085476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3085476","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","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/A5100778313","display_name":"Na L\u00fc","orcid":"https://orcid.org/0000-0002-7436-2691"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Na Lu","raw_affiliation_strings":["Systems Engineering Institute, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-7436-2691","affiliations":[{"raw_affiliation_string":"Systems Engineering Institute, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055379213","display_name":"Huiyang Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huiyang Hu","raw_affiliation_strings":["Systems Engineering Institute, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Engineering Institute, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037551819","display_name":"Tao Yin","orcid":"https://orcid.org/0000-0001-5908-8279"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yin","raw_affiliation_strings":["Systems Engineering Institute, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Systems Engineering Institute, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008554873","display_name":"Yaguo Lei","orcid":"https://orcid.org/0000-0002-5167-1459"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaguo Lei","raw_affiliation_strings":["Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":"https://orcid.org/0000-0002-5167-1459","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100669246","display_name":"Shuhui Wang","orcid":"https://orcid.org/0000-0003-2406-5274"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuhui Wang","raw_affiliation_strings":["Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":8.6745,"has_fulltext":false,"cited_by_count":126,"citation_normalized_percentile":{"value":0.98644856,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":100},"biblio":{"volume":"52","issue":"11","first_page":"11927","last_page":"11941"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9980000257492065,"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":0.9980000257492065,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.941100001335144,"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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.9311000108718872,"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":0.6746714115142822},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6496237516403198},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6442495584487915},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.636012077331543},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6117446422576904},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.5786325931549072},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5310673713684082},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.513218879699707},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5131550431251526},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.4806308150291443},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4262572228908539},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.4175834059715271},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4133450984954834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4114408493041992},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39694175124168396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12939080595970154}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6746714115142822},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6496237516403198},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6442495584487915},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.636012077331543},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6117446422576904},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.5786325931549072},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5310673713684082},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.513218879699707},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5131550431251526},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.4806308150291443},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4262572228908539},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.4175834059715271},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4133450984954834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4114408493041992},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39694175124168396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12939080595970154},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2021.3085476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2021.3085476","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"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 Cybernetics","raw_type":"journal-article"},{"id":"pmid:34156958","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34156958","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 cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2657306608","display_name":null,"funder_award_id":"2018YFB1306100","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G3814404760","display_name":null,"funder_award_id":"61876147","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/F4320335777","display_name":"National Key Research and Development Program of China","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":62,"referenced_works":["https://openalex.org/W1565327149","https://openalex.org/W1686810756","https://openalex.org/W2002106843","https://openalex.org/W2004039783","https://openalex.org/W2016053056","https://openalex.org/W2060304859","https://openalex.org/W2082650247","https://openalex.org/W2108598243","https://openalex.org/W2113423548","https://openalex.org/W2115403315","https://openalex.org/W2132858010","https://openalex.org/W2194321275","https://openalex.org/W2194775991","https://openalex.org/W2512701384","https://openalex.org/W2556013418","https://openalex.org/W2578362634","https://openalex.org/W2582337578","https://openalex.org/W2594332903","https://openalex.org/W2618530766","https://openalex.org/W2735326783","https://openalex.org/W2738563279","https://openalex.org/W2762289637","https://openalex.org/W2763583057","https://openalex.org/W2794081072","https://openalex.org/W2803884688","https://openalex.org/W2805975258","https://openalex.org/W2808496542","https://openalex.org/W2891033863","https://openalex.org/W2898375427","https://openalex.org/W2901822297","https://openalex.org/W2907541186","https://openalex.org/W2914298094","https://openalex.org/W2915229515","https://openalex.org/W2921717016","https://openalex.org/W2921921216","https://openalex.org/W2922246408","https://openalex.org/W2922660557","https://openalex.org/W2953680418","https://openalex.org/W2964105864","https://openalex.org/W2965875348","https://openalex.org/W2966704097","https://openalex.org/W2967115638","https://openalex.org/W2975851144","https://openalex.org/W2982073446","https://openalex.org/W2991521245","https://openalex.org/W2997914572","https://openalex.org/W3000371092","https://openalex.org/W3009594751","https://openalex.org/W3017198169","https://openalex.org/W3023973923","https://openalex.org/W3109180935","https://openalex.org/W3116945867","https://openalex.org/W3119945407","https://openalex.org/W3126227157","https://openalex.org/W3134093839","https://openalex.org/W3135695944","https://openalex.org/W3135822842","https://openalex.org/W6683633756","https://openalex.org/W6688325169","https://openalex.org/W6717697761","https://openalex.org/W6748284727","https://openalex.org/W6751281049"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W147410782","https://openalex.org/W3022252430","https://openalex.org/W3103989898","https://openalex.org/W2440023763","https://openalex.org/W2962474440","https://openalex.org/W4309346246"],"abstract_inverted_index":{"Many":[0],"deep-learning":[1],"methods":[2,258],"have":[3,130,238],"been":[4,69,110,144,208,252],"developed":[5,100],"for":[6,134,225],"fault":[7,19,40,50,106,231],"diagnosis.":[8,232],"However,":[9],"due":[10],"to":[11,65,146,176,202,210,222],"the":[12,21,32,39,73,79,105,148,151,154,212,216,226,240,256,260],"difficulty":[13],"of":[14,118,150,228,243,248],"collecting":[15],"and":[16,67,96,126,137,153],"labeling":[17],"machine":[18],"data,":[20,58,194],"datasets":[22,237],"in":[23,101],"some":[24,48],"practical":[25],"applications":[26],"are":[27],"relatively":[28],"much":[29],"smaller":[30],"than":[31],"other":[33],"big":[34],"data":[35,41],"benchmarks.":[36],"In":[37],"addition,":[38],"come":[42],"from":[43,72,78,215],"different":[44,173,184],"machines.":[45],"Therefore,":[46],"on":[47,168,192,235,259],"occasions,":[49],"diagnosis":[51,107,190],"is":[52,63,99,166,200],"a":[53,85,92,113,127],"multidomain":[54],"problem":[55,108,116],"with":[56,158,172,255],"small":[57,193],"where":[59],"satisfactory":[60],"transfer":[61,82,87,97,182],"performance":[62,242],"difficult":[64],"obtain":[66],"has":[68,109,143,207,251],"rarely":[70],"explored":[71],"few-shot":[74,93,197],"learning":[75,83,94],"viewpoint.":[76],"Different":[77],"existing":[80],"deep":[81],"solutions,":[84],"novel":[86],"relation":[88,128,138],"network":[89],"(TRN),":[90],"combining":[91],"mechanism":[95],"learning,":[98],"this":[102],"study.":[103],"Specifically,":[104],"treated":[111],"as":[112],"similarity":[114],"metric-learning":[115],"instead":[117],"solely":[119],"feature":[120,124,135,181,185],"weighted":[121],"classification.":[122],"A":[123,245],"net":[125,129],"been,":[131],"respectively,":[132],"constructed":[133],"extraction":[136],"computation.":[139],"The":[140],"Siamese":[141],"structure":[142],"borrowed":[145],"extract":[147],"features":[149],"source":[152],"target":[155],"domain":[156,180],"samples":[157],"shared":[159],"weights.":[160],"Multikernel":[161],"maximum":[162],"mean":[163],"discrepancy":[164],"(MK-MMD)":[165],"employed":[167],"several":[169],"higher":[170],"layers":[171],"tradeoff":[174],"parameters":[175],"enable":[177],"an":[178,195],"efficient":[179,189],"considering":[183],"properties.":[186],"To":[187],"implement":[188],"based":[191],"episode-based":[196],"training":[198],"strategy":[199],"adopted":[201,209,261],"train":[203],"TRN.":[204,244],"Average":[205],"pooling":[206],"suppress":[211],"noise":[213],"influence":[214],"vibration":[217],"sequence":[218],"which":[219],"turns":[220],"out":[221],"be":[223],"important":[224],"success":[227],"time":[229],"sequence-based":[230],"Transfer":[233],"experiments":[234],"four":[236],"verified":[239],"superior":[241],"significant":[246],"improvement":[247],"classification":[249],"accuracy":[250],"made":[253],"compared":[254],"state-of-the-art":[257],"datasets.":[262]},"counts_by_year":[{"year":2026,"cited_by_count":13},{"year":2025,"cited_by_count":33},{"year":2024,"cited_by_count":33},{"year":2023,"cited_by_count":29},{"year":2022,"cited_by_count":16},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-17T09:13:05.818461","created_date":"2025-10-10T00:00:00"}
