{"id":"https://openalex.org/W3183445774","doi":"https://doi.org/10.1109/tie.2021.3095804","title":"An Optimal Transport-Embedded Similarity Measure for Diagnostic Knowledge Transferability Analytics Across Machines","display_name":"An Optimal Transport-Embedded Similarity Measure for Diagnostic Knowledge Transferability Analytics Across Machines","publication_year":2021,"publication_date":"2021-08-24","ids":{"openalex":"https://openalex.org/W3183445774","doi":"https://doi.org/10.1109/tie.2021.3095804","mag":"3183445774"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2021.3095804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3095804","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","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/A5059650009","display_name":"Bin Yang","orcid":"https://orcid.org/0000-0002-3015-3580"},"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":"Bin Yang","raw_affiliation_strings":["Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'an, China"],"raw_orcid":"https://orcid.org/0000-0002-3015-3580","affiliations":[{"raw_affiliation_string":"Key Laboratory of Education Ministry for Modern Design and Rotor-Bearing System, Xi'an Jiaotong University, Xi'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'an Jiaotong University, Xi'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'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063074198","display_name":"Songci Xu","orcid":"https://orcid.org/0000-0001-8442-6022"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Songci Xu","raw_affiliation_strings":["Centre of Maintenance Optimization and Reliability Engineering, the University of Toronto, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0001-8442-6022","affiliations":[{"raw_affiliation_string":"Centre of Maintenance Optimization and Reliability Engineering, the University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057636084","display_name":"Chi-Guhn Lee","orcid":"https://orcid.org/0000-0002-0916-0241"},"institutions":[{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Chi-Guhn Lee","raw_affiliation_strings":["Centre of Maintenance Optimization and Reliability Engineering, the University of Toronto, Toronto, ON, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0916-0241","affiliations":[{"raw_affiliation_string":"Centre of Maintenance Optimization and Reliability Engineering, the University of Toronto, Toronto, ON, Canada","institution_ids":["https://openalex.org/I185261750"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.9806,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96838566,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"69","issue":"7","first_page":"7372","last_page":"7382"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9926000237464905,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9926000237464905,"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"}},{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9925000071525574,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9891999959945679,"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/similarity","display_name":"Similarity (geometry)","score":0.6957318782806396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.658933162689209},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.6432323455810547},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.588080108165741},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5600519776344299},{"id":"https://openalex.org/keywords/similarity-measure","display_name":"Similarity measure","score":0.5282420516014099},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.5120585560798645},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.510978102684021},{"id":"https://openalex.org/keywords/transfer-of-learning","display_name":"Transfer of learning","score":0.4981694221496582},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4894517958164215},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4223915636539459},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3983762860298157},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21562206745147705}],"concepts":[{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6957318782806396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.658933162689209},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6432323455810547},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.588080108165741},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5600519776344299},{"id":"https://openalex.org/C2776517306","wikidata":"https://www.wikidata.org/wiki/Q29017317","display_name":"Similarity measure","level":2,"score":0.5282420516014099},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.5120585560798645},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.510978102684021},{"id":"https://openalex.org/C150899416","wikidata":"https://www.wikidata.org/wiki/Q1820378","display_name":"Transfer of learning","level":2,"score":0.4981694221496582},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4894517958164215},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4223915636539459},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3983762860298157},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21562206745147705},{"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/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2021.3095804","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2021.3095804","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Industrial Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","score":0.46000000834465027,"display_name":"Partnerships for the goals"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W2003447360","https://openalex.org/W2019448438","https://openalex.org/W2033178790","https://openalex.org/W2060300932","https://openalex.org/W2078686603","https://openalex.org/W2143668817","https://openalex.org/W2165698076","https://openalex.org/W2294051546","https://openalex.org/W2613369402","https://openalex.org/W2891319189","https://openalex.org/W2904460913","https://openalex.org/W2969372261","https://openalex.org/W2991521245","https://openalex.org/W2998506103","https://openalex.org/W3006227838","https://openalex.org/W3025525014","https://openalex.org/W3025888249","https://openalex.org/W3025981493","https://openalex.org/W3115356548","https://openalex.org/W3137410503","https://openalex.org/W4206471589","https://openalex.org/W6682962330","https://openalex.org/W6688325169","https://openalex.org/W6697170243","https://openalex.org/W6734335776","https://openalex.org/W6741832134"],"related_works":["https://openalex.org/W2319693127","https://openalex.org/W2111173507","https://openalex.org/W4248020907","https://openalex.org/W2606618787","https://openalex.org/W1992371859","https://openalex.org/W121350374","https://openalex.org/W3142162173","https://openalex.org/W3015424904","https://openalex.org/W2358805260","https://openalex.org/W2113226963"],"abstract_inverted_index":{"The":[0,166],"successful":[1],"applications":[2],"of":[3,81,123,134,143,171,195],"deep":[4],"transfer":[5,154,193],"learning":[6],"to":[7,12,32,74,91,128],"intelligent":[8],"fault":[9],"diagnosis":[10,155],"testify":[11],"a":[13,113,120,175],"positive":[14],"correlation":[15,27,177],"between":[16],"transferable":[17,135,172],"feature":[18,29,44,57],"similarity":[19,30,103],"and":[20,46,96,152,162],"knowledge":[21,35,180],"transferability":[22,181],"across":[23],"diagnostic":[24,34,179,196],"tasks.":[25,199],"This":[26],"makes":[28],"possible":[31],"assess":[33],"transferability.":[36],"Therefore,":[37],"researchers":[38],"have":[39,49],"attempted":[40],"various":[41],"measures":[42],"for":[43,56],"similarity,":[45],"distance":[47,64,184],"metrics":[48,65],"been":[50],"adopted":[51],"as":[52],"an":[53,98,140],"objective":[54],"measure":[55,104],"distribution":[58,70,102],"discrepancy.":[59],"However,":[60],"the":[61,68,75,87,129,132,187,192],"commonly":[62],"used":[63],"cannot":[66],"address":[67],"joint":[69,101],"discrepancy":[71],"(JDD)":[72],"due":[73],"difficulty":[76],"in":[77,109],"fitting":[78],"conditional":[79],"distributions":[80,94],"target":[82,125],"domain":[83,126],"samples.":[84],"To":[85],"overcome":[86],"problem,":[88],"we":[89],"resort":[90],"explore":[92],"cluster-conditional":[93],"instead":[95],"propose":[97],"optimal":[99,144],"transport-embedded":[100],"(OT-JDSM)":[105],"that":[106,157,169],"is":[107,137,147],"implemented":[108],"two":[110],"steps.":[111],"First,":[112],"cluster-true":[114],"label":[115],"propagation":[116],"spreads":[117],"labels":[118],"from":[119],"small":[121],"number":[122],"labeled":[124],"samples":[127],"whole.":[130],"Second,":[131],"JDD":[133],"features":[136,173],"produced":[138],"via":[139],"efficient":[141],"solution":[142],"transport.":[145],"OT-JDSM":[146,170,188],"demonstrated":[148],"on":[149,198],"synthetic":[150],"examples":[151],"144":[153],"tasks":[156],"are":[158],"created":[159],"by":[160],"public":[161],"private":[163],"bearing":[164],"datasets.":[165],"results":[167],"show":[168],"has":[174],"stronger":[176],"with":[178],"than":[182],"other":[183],"metrics.":[185],"Moreover,":[186],"gain":[189],"can":[190],"quantify":[191],"performance":[194],"models":[197]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":19},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-16T13:24:37.021932","created_date":"2025-10-10T00:00:00"}