{"id":"https://openalex.org/W4388240344","doi":"https://doi.org/10.1109/access.2023.3330094","title":"A New Weight-Based Dual Domain Adaptation Transfer Model for Bearing Fault Diagnosis Under Noisy and Cross-Domain Conditions","display_name":"A New Weight-Based Dual Domain Adaptation Transfer Model for Bearing Fault Diagnosis Under Noisy and Cross-Domain Conditions","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4388240344","doi":"https://doi.org/10.1109/access.2023.3330094"},"language":"en","primary_location":{"id":"doi:10.1109/access.2023.3330094","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330094","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10305573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10305573.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018086910","display_name":"Mingyuan Wang","orcid":"https://orcid.org/0000-0002-0147-8212"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Mingyuan Wang","raw_affiliation_strings":["School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":"https://orcid.org/0000-0002-0147-8212","affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5059094426","display_name":"Jishun Li","orcid":"https://orcid.org/0000-0002-5138-0248"},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jishun Li","raw_affiliation_strings":["School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, China","Henan Provincial Collaborative Innovation Center for High end Bearings, Henan University of Science and Technology, Luoyang, China","Henan Key Laboratory for Machinery Design and Transmission System, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":"https://orcid.org/0000-0002-5138-0248","affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"Henan Provincial Collaborative Innovation Center for High end Bearings, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"Henan Key Laboratory for Machinery Design and Transmission System, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103794804","display_name":"Yujun Xue","orcid":null},"institutions":[{"id":"https://openalex.org/I167383011","display_name":"Henan University of Science and Technology","ror":"https://ror.org/05d80kz58","country_code":"CN","type":"education","lineage":["https://openalex.org/I167383011"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujun Xue","raw_affiliation_strings":["School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, China","Henan Provincial Collaborative Innovation Center for High end Bearings, Henan University of Science and Technology, Luoyang, China","Henan Key Laboratory for Machinery Design and Transmission System, Henan University of Science and Technology, Luoyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Mechatronics Engineering, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"Henan Provincial Collaborative Innovation Center for High end Bearings, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]},{"raw_affiliation_string":"Henan Key Laboratory for Machinery Design and Transmission System, Henan University of Science and Technology, Luoyang, China","institution_ids":["https://openalex.org/I167383011"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018086910"],"corresponding_institution_ids":["https://openalex.org/I167383011"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.8874,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.74790197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":null,"first_page":"123766","last_page":"123783"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9962999820709229,"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":0.9962999820709229,"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/T11062","display_name":"Gear and Bearing Dynamics Analysis","score":0.9854999780654907,"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/T11856","display_name":"Thermography and Photoacoustic Techniques","score":0.9178000092506409,"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/computer-science","display_name":"Computer science","score":0.6811827421188354},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5552628636360168},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5197174549102783},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.49444103240966797},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.46134641766548157},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4489808976650238},{"id":"https://openalex.org/keywords/frequency-domain","display_name":"Frequency domain","score":0.4320318102836609},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4226810336112976},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4158993363380432},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.34403228759765625},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.09499126672744751}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6811827421188354},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5552628636360168},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5197174549102783},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.49444103240966797},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.46134641766548157},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4489808976650238},{"id":"https://openalex.org/C19118579","wikidata":"https://www.wikidata.org/wiki/Q786423","display_name":"Frequency domain","level":2,"score":0.4320318102836609},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4226810336112976},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4158993363380432},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.34403228759765625},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.09499126672744751},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2023.3330094","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330094","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10305573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:a4b97312f5e8494ebd43280fdb08fe6f","is_oa":true,"landing_page_url":"https://doaj.org/article/a4b97312f5e8494ebd43280fdb08fe6f","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":"IEEE Access, Vol 11, Pp 123766-123783 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2023.3330094","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2023.3330094","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/10305573.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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 Access","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388240344.pdf","grobid_xml":"https://content.openalex.org/works/W4388240344.grobid-xml"},"referenced_works_count":52,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1993898831","https://openalex.org/W2088614075","https://openalex.org/W2118550318","https://openalex.org/W2159291411","https://openalex.org/W2187089797","https://openalex.org/W2194775991","https://openalex.org/W2765516066","https://openalex.org/W2810292802","https://openalex.org/W2896457183","https://openalex.org/W2904218127","https://openalex.org/W2907541186","https://openalex.org/W2963163009","https://openalex.org/W2963275094","https://openalex.org/W2963446712","https://openalex.org/W2964288524","https://openalex.org/W2969736276","https://openalex.org/W2972006294","https://openalex.org/W2982083293","https://openalex.org/W3021632667","https://openalex.org/W3034971973","https://openalex.org/W3035414587","https://openalex.org/W3035576098","https://openalex.org/W3081074546","https://openalex.org/W3113310630","https://openalex.org/W3127230150","https://openalex.org/W3135584819","https://openalex.org/W3213908205","https://openalex.org/W4206473795","https://openalex.org/W4210522264","https://openalex.org/W4223996660","https://openalex.org/W4225605564","https://openalex.org/W4285818347","https://openalex.org/W4286377585","https://openalex.org/W4286564978","https://openalex.org/W4297775537","https://openalex.org/W4307567853","https://openalex.org/W4317038442","https://openalex.org/W4366378735","https://openalex.org/W4372342641","https://openalex.org/W4377090582","https://openalex.org/W4380538128","https://openalex.org/W4385245566","https://openalex.org/W4385834457","https://openalex.org/W4386076325","https://openalex.org/W4386739308","https://openalex.org/W6672483815","https://openalex.org/W6683633756","https://openalex.org/W6720111944","https://openalex.org/W6737664043","https://openalex.org/W6739901393","https://openalex.org/W6755207826"],"related_works":["https://openalex.org/W2560215812","https://openalex.org/W2949601986","https://openalex.org/W2788972299","https://openalex.org/W2521347458","https://openalex.org/W2498789492","https://openalex.org/W2729981612","https://openalex.org/W2925692864","https://openalex.org/W4233449973","https://openalex.org/W4391013256","https://openalex.org/W1996690921"],"abstract_inverted_index":{"The":[0],"traditional":[1],"fault":[2,35],"diagnosis":[3,8,36],"methods":[4,179],"generally":[5],"present":[6],"poor":[7],"accuracy":[9],"and":[10,21,75,101,110,129,146,180,190],"robustness":[11],"when":[12],"faced":[13],"with":[14],"complex":[15,185],"conditions":[16,186],"that":[17,173],"involve":[18],"noisy":[19],"interference":[20],"domain":[22,29,137],"shift.":[23],"Therefore,":[24],"a":[25,143],"new":[26],"weight-based":[27],"dual":[28],"adaptation":[30],"transfer":[31,85],"model":[32,86,176],"for":[33,54],"bearing":[34],"is":[37,71,120,163],"proposed.":[38],"First,":[39],"based":[40,72],"on":[41,73],"continuous":[42],"wavelet":[43],"transform,":[44],"the":[45,59,64,67,83,108,113,117,125,134,159,174],"temporal":[46],"signals":[47],"are":[48,61],"transformed":[49],"into":[50],"time-frequency":[51],"images":[52],"(TFIs)":[53],"enhancing":[55],"feature":[56,80],"representation.":[57],"Second,":[58],"TFIs":[60],"used":[62,121],"as":[63,142],"input":[65],"of":[66,112,127,154],"improved":[68],"network":[69],"which":[70],"dense":[74],"residual":[76],"connections":[77],"to":[78,93,106,122,149,165],"complete":[79],"extraction.":[81],"Third,":[82],"proposed":[84,135,175],"uses":[87],"local":[88],"maximum":[89],"mean":[90],"discrepancy":[91],"(LMMD)":[92],"adjust":[94,150],"data":[95],"distribution":[96],"between":[97],"different":[98],"working":[99],"domains":[100],"batch":[102],"nuclear-norm":[103],"maximization":[104],"(BNM)":[105],"improve":[107],"discriminability":[109],"diversity":[111],"output":[114],"matrix.":[115],"Moreover,":[116],"weight":[118,161],"controller":[119],"trade":[123],"off":[124],"contributions":[126],"LMMD":[128],"BNM":[130],"during":[131],"training.":[132],"Finally,":[133],"frequency":[136,152],"cut":[138],"can":[139],"be":[140],"seen":[141],"simple":[144],"moving":[145],"cutting":[147],"method":[148],"each":[151],"spectrum":[153],"TFIs.":[155],"In":[156],"this":[157],"process,":[158],"controlled":[160],"factor":[162],"involved":[164],"further":[166],"alleviate":[167],"noise":[168,189],"interference.":[169],"Case":[170],"studies":[171],"show":[172],"outperforms":[177],"other":[178],"works":[181],"well":[182],"even":[183],"in":[184],"mixed":[187],"by":[188],"cross-domain.":[191]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
