{"id":"https://openalex.org/W4285241854","doi":"https://doi.org/10.1109/tim.2022.3178488","title":"Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery","display_name":"Partial Domain Adaptation Method Based on Class-Weighted Alignment for Fault Diagnosis of Rotating Machinery","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285241854","doi":"https://doi.org/10.1109/tim.2022.3178488"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2022.3178488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3178488","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/A5101576226","display_name":"Xiao Zhang","orcid":"https://orcid.org/0000-0003-4641-421X"},"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":"Xiao Zhang","raw_affiliation_strings":["School of Rail Transportation, Soochow University, Suzhou, China","School of Rail Transportation, Soochow University, Suzhou 215131, China and College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China"],"affiliations":[{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou, China","institution_ids":["https://openalex.org/I3923682"]},{"raw_affiliation_string":"School of Rail Transportation, Soochow University, Suzhou 215131, China and College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027947686","display_name":"Jinrui Wang","orcid":"https://orcid.org/0000-0001-8690-0672"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinrui Wang","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China","College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064733309","display_name":"Sixiang Jia","orcid":"https://orcid.org/0000-0001-8207-1045"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Sixiang Jia","raw_affiliation_strings":["School of Aeronautics, Northwestern Polytechnical University, Xi&#x2019;an, China","an, Shaanxi 710072, China"],"affiliations":[{"raw_affiliation_string":"School of Aeronautics, Northwestern Polytechnical University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I17145004"]},{"raw_affiliation_string":"an, Shaanxi 710072, China","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011132626","display_name":"Baokun Han","orcid":"https://orcid.org/0000-0001-7367-6253"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Baokun Han","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China","College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China","institution_ids":["https://openalex.org/I80143920"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5069886339","display_name":"Zongzhen Zhang","orcid":"https://orcid.org/0000-0002-2022-2116"},"institutions":[{"id":"https://openalex.org/I80143920","display_name":"Shandong University of Science and Technology","ror":"https://ror.org/04gtjhw98","country_code":"CN","type":"education","lineage":["https://openalex.org/I80143920"]},{"id":"https://openalex.org/I9842412","display_name":"Nanjing University of Aeronautics and Astronautics","ror":"https://ror.org/01scyh794","country_code":"CN","type":"education","lineage":["https://openalex.org/I9842412"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zongzhen Zhang","raw_affiliation_strings":["College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China","College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China and College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China"],"affiliations":[{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao, China","institution_ids":["https://openalex.org/I80143920"]},{"raw_affiliation_string":"College of Mechanical and Electronic Engineering, Shandong University of Science and Technology, Qingdao 266000, China and College of Energy and Power Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China","institution_ids":["https://openalex.org/I9842412"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5101576226"],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":5.6977,"has_fulltext":false,"cited_by_count":47,"citation_normalized_percentile":{"value":0.96742959,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"71","issue":null,"first_page":"1","last_page":"14"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.998199999332428,"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":0.998199999332428,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9763000011444092,"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/T13891","display_name":"Engineering Diagnostics and Reliability","score":0.9663000106811523,"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/weighting","display_name":"Weighting","score":0.7304825186729431},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7125416994094849},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6561876535415649},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.586277425289154},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.5564664006233215},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.5335168242454529},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5319250822067261},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5074579119682312},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45919880270957947},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.4428706169128418},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.4372912049293518},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41897106170654297},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3949933350086212},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.37909528613090515},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16615980863571167}],"concepts":[{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.7304825186729431},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7125416994094849},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6561876535415649},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.586277425289154},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.5564664006233215},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.5335168242454529},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5319250822067261},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5074579119682312},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45919880270957947},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4428706169128418},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.4372912049293518},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41897106170654297},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3949933350086212},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.37909528613090515},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16615980863571167},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2022.3178488","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2022.3178488","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":[],"awards":[{"id":"https://openalex.org/G2084883102","display_name":null,"funder_award_id":"52005303","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3234005388","display_name":null,"funder_award_id":"52075353","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"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":38,"referenced_works":["https://openalex.org/W2172000360","https://openalex.org/W2187089797","https://openalex.org/W2791694051","https://openalex.org/W2885722640","https://openalex.org/W2907541186","https://openalex.org/W2962986791","https://openalex.org/W2964109570","https://openalex.org/W2998506103","https://openalex.org/W3000097396","https://openalex.org/W3006499178","https://openalex.org/W3015913963","https://openalex.org/W3025888249","https://openalex.org/W3036403470","https://openalex.org/W3040853111","https://openalex.org/W3040865353","https://openalex.org/W3049639045","https://openalex.org/W3090225347","https://openalex.org/W3112055870","https://openalex.org/W3118534614","https://openalex.org/W3123146821","https://openalex.org/W3126536330","https://openalex.org/W3126725177","https://openalex.org/W3130126636","https://openalex.org/W3135547771","https://openalex.org/W3138762281","https://openalex.org/W3145701633","https://openalex.org/W3149994345","https://openalex.org/W3159025054","https://openalex.org/W3163781022","https://openalex.org/W3165463321","https://openalex.org/W3188482078","https://openalex.org/W3199793489","https://openalex.org/W3200337201","https://openalex.org/W3208926133","https://openalex.org/W3209861741","https://openalex.org/W6680105781","https://openalex.org/W6682132143","https://openalex.org/W6713955831"],"related_works":["https://openalex.org/W2263302838","https://openalex.org/W4376166954","https://openalex.org/W2563096758","https://openalex.org/W2152148513","https://openalex.org/W2111362445","https://openalex.org/W4281397339","https://openalex.org/W4386053843","https://openalex.org/W4386155549","https://openalex.org/W3158004940","https://openalex.org/W4293733657"],"abstract_inverted_index":{"Domain":[0],"adaptation":[1,52,117],"(DA)-based":[2],"methods":[3,19,191],"for":[4,111],"fault":[5],"diagnosis":[6],"(FD)":[7],"of":[8,107,163,174],"rotating":[9],"machinery":[10],"have":[11],"achieved":[12],"impressive":[13],"results":[14],"in":[15,42,88,135,192],"recent":[16],"years.":[17],"Most":[18],"hold":[20],"the":[21,24,33,61,104,136,146,152,161,172,179,188,193],"assumption":[22],"that":[23,178],"source":[25],"domain":[26,30,51,129],"(SD)":[27],"and":[28,150,156],"target":[29],"(TD)":[31],"share":[32],"same":[34],"label":[35],"space,":[36],"which":[37,143],"is":[38,69,86,100,118,133],"not":[39],"always":[40],"satisfied":[41],"actual":[43],"situations.":[44],"A":[45,77,96],"more":[46,58,123],"practical":[47],"scenario":[48],"called":[49,80],"partial":[50],"(PDA)":[53],"needs":[54],"to":[55,71,91,93,102,121,148,170],"be":[56],"given":[57],"attention,":[59],"where":[60],"transferable":[62,125],"knowledge":[63],"learned":[64],"from":[65],"a":[66,72,128,140],"larger":[67],"SD":[68,155],"applied":[70],"smaller":[73],"but":[74],"relevant":[75],"TD.":[76],"PDA":[78,194],"method":[79,99,181],"class-weighted":[81],"alignment-based":[82],"transfer":[83],"network":[84,147],"(CWATN)":[85],"proposed":[87,180],"this":[89,94],"paper":[90],"adapt":[92,103],"scenario.":[95,195],"novel":[97],"weighting":[98],"designed":[101],"data":[105],"distributions":[106],"shared":[108,137],"classes.":[109],"Except":[110],"weighted":[112],"class-level":[113],"alignment,":[114],"global-level":[115],"feature":[116],"also":[119],"considered":[120],"learn":[122,149],"general":[124],"knowledge.":[126],"Moreover,":[127],"discrepancy":[130,153],"learning":[131],"block":[132],"plugged":[134],"classifier":[138],"as":[139],"residual":[141],"block,":[142],"could":[144,182],"enforce":[145],"measure":[151],"between":[154],"TD":[157],"explicitly,":[158],"thus":[159],"improving":[160],"result":[162],"DA.":[164],"Three":[165],"case":[166],"studies":[167],"are":[168],"implemented":[169],"verify":[171],"superiority":[173],"CWATN.":[175],"Results":[176],"demonstrate":[177],"obtain":[183],"better":[184],"diagnostic":[185],"performance":[186],"than":[187],"selected":[189],"competitive":[190]},"counts_by_year":[{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":15},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}
