{"id":"https://openalex.org/W4404628562","doi":"https://doi.org/10.1109/tim.2024.3504567","title":"Data Generation Approach Based on Data Model Fusion: An Application for Rolling Bearings Fault Diagnosis With Small Samples","display_name":"Data Generation Approach Based on Data Model Fusion: An Application for Rolling Bearings Fault Diagnosis With Small Samples","publication_year":2024,"publication_date":"2024-11-22","ids":{"openalex":"https://openalex.org/W4404628562","doi":"https://doi.org/10.1109/tim.2024.3504567"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3504567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3504567","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/A5110874150","display_name":"Yonghuai Zhu","orcid":"https://orcid.org/0009-0001-1019-6778"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yonghuai Zhu","raw_affiliation_strings":["Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China","Institute of Advanced Manuf-acturing and Intelligent Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-1019-6778","affiliations":[{"raw_affiliation_string":"Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Institute of Advanced Manuf-acturing and Intelligent Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026519674","display_name":"Jiangfeng Cheng","orcid":"https://orcid.org/0000-0003-0386-3533"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiangfeng Cheng","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-0386-3533","affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100703477","display_name":"Zhifeng Liu","orcid":"https://orcid.org/0000-0002-6164-3283"},"institutions":[{"id":"https://openalex.org/I194450716","display_name":"Jilin University","ror":"https://ror.org/00js3aw79","country_code":"CN","type":"education","lineage":["https://openalex.org/I194450716"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhifeng Liu","raw_affiliation_strings":["Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Changchun, Jilin, China","Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Jilin, China"],"raw_orcid":"https://orcid.org/0000-0002-6164-3283","affiliations":[{"raw_affiliation_string":"Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Changchun, Jilin, China","institution_ids":["https://openalex.org/I194450716"]},{"raw_affiliation_string":"Key Laboratory of CNC Equipment Reliability, Ministry of Education, Jilin University, Jilin, China","institution_ids":["https://openalex.org/I194450716"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017232213","display_name":"Xiaofu Zou","orcid":"https://orcid.org/0000-0003-4562-3845"},"institutions":[{"id":"https://openalex.org/I4210100255","display_name":"Beijing Academy of Artificial Intelligence","ror":"https://ror.org/016a74861","country_code":"CN","type":"other","lineage":["https://openalex.org/I4210100255"]},{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofu Zou","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University, Beijing, China","Institute of Artificial Intelligence, Beihang Univ-ersity, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0003-4562-3845","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang Univ-ersity, Beijing, China","institution_ids":["https://openalex.org/I4210100255","https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100767866","display_name":"Qiang Cheng","orcid":"https://orcid.org/0000-0001-5446-3658"},"institutions":[{"id":"https://openalex.org/I37796252","display_name":"Beijing University of Technology","ror":"https://ror.org/037b1pp87","country_code":"CN","type":"education","lineage":["https://openalex.org/I37796252"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Cheng","raw_affiliation_strings":["Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China","Institute of Advanced Manuf-acturing and Intelligent Technology, Beijing University of Technology, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-5446-3658","affiliations":[{"raw_affiliation_string":"Institute of Advanced Manufacturing and Intelligent Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]},{"raw_affiliation_string":"Institute of Advanced Manuf-acturing and Intelligent Technology, Beijing University of Technology, Beijing, China","institution_ids":["https://openalex.org/I37796252"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108710173","display_name":"Hui Xu","orcid":"https://orcid.org/0009-0001-0414-893X"},"institutions":[{"id":"https://openalex.org/I4210101356","display_name":"Beijing Founder Electronics (China)","ror":"https://ror.org/00nwrzz95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101356"]},{"id":"https://openalex.org/I4210136225","display_name":"Beijing Research Institute of Automation for Machinery Industry (China)","ror":"https://ror.org/03rbc9d50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Xu","raw_affiliation_strings":["RIAMB (Beijing) Technology Development Company Ltd. (R.T.D.), Beijing, China","RIAMB (Beijing) Technology Development Co., Ltd (R.T.D.), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0001-0414-893X","affiliations":[{"raw_affiliation_string":"RIAMB (Beijing) Technology Development Company Ltd. (R.T.D.), Beijing, China","institution_ids":["https://openalex.org/I4210101356"]},{"raw_affiliation_string":"RIAMB (Beijing) Technology Development Co., Ltd (R.T.D.), Beijing, China","institution_ids":["https://openalex.org/I4210136225"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yong Wang","orcid":"https://orcid.org/0009-0005-6556-3669"},"institutions":[{"id":"https://openalex.org/I4210101356","display_name":"Beijing Founder Electronics (China)","ror":"https://ror.org/00nwrzz95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101356"]},{"id":"https://openalex.org/I4210136225","display_name":"Beijing Research Institute of Automation for Machinery Industry (China)","ror":"https://ror.org/03rbc9d50","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136225"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Wang","raw_affiliation_strings":["RIAMB (Beijing) Technology Development Company Ltd. (R.T.D.), Beijing, China","RIAMB (Beijing) Technology Development Co., Ltd (R.T.D.), Beijing, China"],"raw_orcid":"https://orcid.org/0009-0005-6556-3669","affiliations":[{"raw_affiliation_string":"RIAMB (Beijing) Technology Development Company Ltd. (R.T.D.), Beijing, China","institution_ids":["https://openalex.org/I4210101356"]},{"raw_affiliation_string":"RIAMB (Beijing) Technology Development Co., Ltd (R.T.D.), Beijing, China","institution_ids":["https://openalex.org/I4210136225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072705483","display_name":"Fei Tao","orcid":"https://orcid.org/0000-0002-9020-0633"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fei Tao","raw_affiliation_strings":["Digital Twin International Research Center, International Research Institute for Multidisciplinary Science, Beihang University, Beijing, China","International Research Institute for Multidisciplinary Science, Digital Twin International Research Center, Beihang University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-9020-0633","affiliations":[{"raw_affiliation_string":"Digital Twin International Research Center, International Research Institute for Multidisciplinary Science, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"International Research Institute for Multidisciplinary Science, Digital Twin International Research Center, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5110874150"],"corresponding_institution_ids":["https://openalex.org/I37796252"],"apc_list":null,"apc_paid":null,"fwci":4.4173,"has_fulltext":false,"cited_by_count":14,"citation_normalized_percentile":{"value":0.95150467,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"16"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.7825000286102295,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.7825000286102295,"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/T14225","display_name":"Advanced Sensor and Control Systems","score":0.7821000218391418,"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/T13734","display_name":"Advanced Computational Techniques and Applications","score":0.7710000276565552,"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/fault","display_name":"Fault (geology)","score":0.5741520524024963},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor fusion","score":0.5585882663726807},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5381999611854553},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.5300483703613281},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48652806878089905},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33967870473861694},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3365495204925537},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.12917351722717285},{"id":"https://openalex.org/keywords/seismology","display_name":"Seismology","score":0.09072768688201904}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5741520524024963},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.5585882663726807},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5381999611854553},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.5300483703613281},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48652806878089905},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33967870473861694},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3365495204925537},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.12917351722717285},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.09072768688201904},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3504567","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3504567","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":[{"id":"https://metadata.un.org/sdg/13","score":0.5899999737739563,"display_name":"Climate action"}],"awards":[{"id":"https://openalex.org/G1518253854","display_name":null,"funder_award_id":"U23B20104","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3401949601","display_name":null,"funder_award_id":"24JL002","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"},{"id":"https://openalex.org/G5444052766","display_name":null,"funder_award_id":"52275471","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7316274176","display_name":null,"funder_award_id":"52475506","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7668074448","display_name":null,"funder_award_id":"24JL002","funder_id":"https://openalex.org/F4320334977","funder_display_name":"Beijing Municipal Natural Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320334977","display_name":"Beijing Municipal Natural Science Foundation","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W2099070212","https://openalex.org/W2196489505","https://openalex.org/W2381634666","https://openalex.org/W2485614840","https://openalex.org/W2530133016","https://openalex.org/W2768753204","https://openalex.org/W2887785636","https://openalex.org/W3025967384","https://openalex.org/W3133192086","https://openalex.org/W3164954748","https://openalex.org/W3179740443","https://openalex.org/W3184551298","https://openalex.org/W3184578020","https://openalex.org/W3194848414","https://openalex.org/W3209564648","https://openalex.org/W4200484503","https://openalex.org/W4206587001","https://openalex.org/W4213175706","https://openalex.org/W4283012215","https://openalex.org/W4285098908","https://openalex.org/W4285121936","https://openalex.org/W4288720960","https://openalex.org/W4293649366","https://openalex.org/W4293732289","https://openalex.org/W4297364358","https://openalex.org/W4309226426","https://openalex.org/W4315607822","https://openalex.org/W4320491464","https://openalex.org/W4320497952","https://openalex.org/W4367043571","https://openalex.org/W4375851235","https://openalex.org/W4378527669","https://openalex.org/W4385156563","https://openalex.org/W4385703369","https://openalex.org/W4385765375","https://openalex.org/W4386364125","https://openalex.org/W4390708023","https://openalex.org/W4390716021","https://openalex.org/W4390955332","https://openalex.org/W4391365348","https://openalex.org/W4392742210","https://openalex.org/W4393909832","https://openalex.org/W4399662645"],"related_works":["https://openalex.org/W2099421762","https://openalex.org/W2530546662","https://openalex.org/W2967030268","https://openalex.org/W2185253430","https://openalex.org/W4210345652","https://openalex.org/W2132659060","https://openalex.org/W2031992971","https://openalex.org/W3214791684","https://openalex.org/W2353265673","https://openalex.org/W2152662039"],"abstract_inverted_index":{"Utilizing":[0],"fake":[1,35],"data":[2,14,36,45,74,85,94,123,145],"(simulated":[3],"based":[4,88,97],"on":[5,89,98],"mechanism":[6,131],"models":[7],"or":[8],"generated":[9,144],"through":[10],"data-driven":[11,184],"models)":[12],"for":[13,50],"enhancement":[15],"is":[16,80,100,119,125,170],"a":[17,44,93],"popular":[18],"approach":[19],"to":[20,111,121,134,149],"solve":[21],"the":[22,31,58,64,84,107,112,117,129,135,139,143,151,155,164,167,181,188,193,200,203,207],"problem":[23],"of":[24,33,114,154,166,202,209,216],"fault":[25,38,53,78,140,156,210],"diagnosis":[26,39,141,157],"with":[27,128,180],"small":[28,51],"samples.":[29],"Consequently,":[30],"quality":[32,201],"such":[34],"impacts":[37],"accuracy.":[40],"This":[41,55],"article":[42],"proposes":[43],"model":[46,61],"fusion":[47],"(DMF)-driven":[48],"framework":[49,56],"sample":[52],"diagnosis.":[54],"integrates":[57],"digital":[59],"twin":[60,73],"(DTM)":[62],"and":[63,132,185,205],"conditional":[65],"deep":[66],"convolutional":[67],"generative":[68],"adversarial":[69],"network":[70],"(C-DCGAN).":[71],"Digital":[72],"(DTD)":[75],"under":[76],"various":[77],"conditions":[79],"first":[81],"obtained":[82],"in":[83],"generation":[86,95],"stage":[87],"DTM":[90],"simulation.":[91],"Then,":[92],"method":[96,103,169,196],"DTM-C-DCGAN":[99],"proposed.":[101],"The":[102],"adopts":[104],"DTD":[105],"as":[106],"soft-physics":[108],"constraint":[109],"input":[110],"generator":[113,118],"C-DCGAN.":[115],"Hence,":[116],"induced":[120],"generate":[122],"that":[124,192],"more":[126],"consistent":[127],"failure":[130],"closer":[133],"real":[136],"data.":[137],"During":[138],"stage,":[142],"(GD)":[146],"are":[147],"used":[148],"enhance":[150,199],"training":[152],"process":[153],"model,":[158],"improving":[159],"its":[160],"generalization":[161],"ability.":[162],"Finally,":[163],"effectiveness":[165],"proposed":[168,194],"comprehensively":[171],"verified":[172],"via":[173],"two":[174],"publicly":[175],"rolling":[176],"bearing":[177],"datasets.":[178],"Compared":[179],"existing":[182],"single":[183],"physics-based":[186],"methods,":[187],"experimental":[189],"results":[190],"demonstrate":[191],"DMF":[195],"can":[197],"significantly":[198],"GD":[204],"improve":[206],"accuracy":[208,215],"identification,":[211],"achieving":[212],"an":[213],"average":[214],"97.31%.":[217]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":11}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
