{"id":"https://openalex.org/W3192649877","doi":"https://doi.org/10.1109/icphm51084.2021.9486449","title":"Unsupervised Domain Adaptation for Bearing Fault Diagnosis Considering the Decision Boundaries","display_name":"Unsupervised Domain Adaptation for Bearing Fault Diagnosis Considering the Decision Boundaries","publication_year":2021,"publication_date":"2021-06-07","ids":{"openalex":"https://openalex.org/W3192649877","doi":"https://doi.org/10.1109/icphm51084.2021.9486449","mag":"3192649877"},"language":"en","primary_location":{"id":"doi:10.1109/icphm51084.2021.9486449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm51084.2021.9486449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-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/A5083568368","display_name":"Tianyu Han","orcid":"https://orcid.org/0000-0002-6837-4901"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tianyu Han","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060711016","display_name":"Xi Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xi Shi","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100363248","display_name":"Gang Zhang","orcid":"https://orcid.org/0000-0002-5907-5803"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Zhang","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100697046","display_name":"Chao Liu","orcid":"https://orcid.org/0000-0001-7540-8092"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Liu","raw_affiliation_strings":["School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5083568368"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.10299773,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"17","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9980999827384949,"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":0.9980999827384949,"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/T12086","display_name":"Structural Integrity and Reliability Analysis","score":0.977400004863739,"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/T12169","display_name":"Non-Destructive Testing Techniques","score":0.9746000170707703,"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":0.7526446580886841},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.746692419052124},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.6730095148086548},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6664324998855591},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.6663865447044373},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.529085636138916},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5120832920074463},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4932693839073181},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4857954978942871},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.46577000617980957},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.4597741365432739},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4574010968208313},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.439619779586792},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40180885791778564},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.12288343906402588},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1086476743221283}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7526446580886841},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.746692419052124},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.6730095148086548},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6664324998855591},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.6663865447044373},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.529085636138916},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5120832920074463},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4932693839073181},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4857954978942871},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.46577000617980957},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.4597741365432739},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4574010968208313},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.439619779586792},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40180885791778564},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.12288343906402588},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1086476743221283},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icphm51084.2021.9486449","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icphm51084.2021.9486449","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Conference on Prognostics and Health Management (ICPHM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1731081199","https://openalex.org/W2159291411","https://openalex.org/W2530133016","https://openalex.org/W2795155917","https://openalex.org/W2904218127","https://openalex.org/W2951670162","https://openalex.org/W2962687275","https://openalex.org/W2964278684","https://openalex.org/W2980096013","https://openalex.org/W2981982720","https://openalex.org/W2982204955","https://openalex.org/W2991521245","https://openalex.org/W2998506103","https://openalex.org/W3000384844","https://openalex.org/W3019762726","https://openalex.org/W3025171967","https://openalex.org/W3025981493","https://openalex.org/W3030489213","https://openalex.org/W3030997042","https://openalex.org/W3040853111","https://openalex.org/W3040865353","https://openalex.org/W3109050770","https://openalex.org/W6637618735","https://openalex.org/W6683633756","https://openalex.org/W6713955831","https://openalex.org/W6728255800","https://openalex.org/W6750109254","https://openalex.org/W6786823502"],"related_works":["https://openalex.org/W3008648540","https://openalex.org/W2740361506","https://openalex.org/W4387323465","https://openalex.org/W3208297503","https://openalex.org/W3095487414","https://openalex.org/W3119773509","https://openalex.org/W2889153461","https://openalex.org/W2964117661","https://openalex.org/W4288048773","https://openalex.org/W2901026139"],"abstract_inverted_index":{"The":[0],"rapid":[1],"development":[2],"of":[3,18,106,119,166,175],"deep":[4],"learning":[5,8],"and":[6,63,122,149,164],"transfer":[7,25,147,182],"provides":[9],"a":[10,150],"new":[11],"opportunity":[12],"to":[13,49,101,125,145,156],"promote":[14],"the":[15,24,33,54,64,74,86,92,95,103,107,117,136,140,158,162,167],"engineering":[16],"applications":[17],"fault":[19,80],"diagnosis":[20,81],"for":[21,36,43,83],"machinery.":[22],"Although":[23],"learning-based":[26],"diagnostic":[27],"methods":[28,48],"made":[29],"progress,":[30],"which":[31,112,180],"alleviate":[32],"strict":[34],"requirement":[35],"data":[37],"distribution,":[38],"it":[39],"is":[40,89,98,143,153],"usually":[41,69,114],"difficult":[42],"most":[44],"unsupervised":[45,77],"domain":[46,78,151],"adaptation":[47],"learn":[50,157],"discriminative":[51],"features.":[52,160],"Because":[53],"relationship":[55],"between":[56],"features":[57,127],"extracted":[58],"from":[59,116],"domain-shared":[60],"feature":[61],"extractor":[62],"task-specific":[65],"decision":[66,87],"boundaries":[67,88],"are":[68,113,170,188],"ignored.":[70],"To":[71],"tackle":[72],"with":[73],"problem,":[75],"an":[76],"adaptation-based":[79],"method":[82,169],"bearings":[84],"considering":[85],"proposed.":[90],"In":[91],"proposed":[93,168],"method,":[94],"Jensen-Shannon":[96],"discrepancy":[97,138],"firstly":[99],"maximized":[100],"expand":[102],"detection":[104],"scope":[105],"samples":[108],"in":[109,179],"target":[110],"domain,":[111,121],"far":[115],"support":[118,131],"source":[120,133],"then":[123],"minimized":[124,144],"obtain":[126],"that":[128],"can":[129],"be":[130],"by":[132,172],"domain.":[134],"Besides,":[135],"mean-feature-norm":[137],"before":[139],"classification":[141],"layer":[142],"improve":[146],"gains,":[148],"discriminator":[152],"also":[154],"utilized":[155],"domain-invariant":[159],"Finally,":[161],"effectiveness":[163],"superiority":[165],"demonstrated":[171],"two":[173],"datasets":[174],"rolling":[176],"element":[177],"bearings,":[178],"twenty-four":[181],"tasks":[183],"under":[184],"different":[185],"operation":[186],"conditions":[187],"conducted.":[189]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
