{"id":"https://openalex.org/W4401416709","doi":"https://doi.org/10.1109/jiot.2024.3441253","title":"Distance-Aware Risk Minimization for Domain Generalization in Machine Fault Diagnosis","display_name":"Distance-Aware Risk Minimization for Domain Generalization in Machine Fault Diagnosis","publication_year":2024,"publication_date":"2024-08-08","ids":{"openalex":"https://openalex.org/W4401416709","doi":"https://doi.org/10.1109/jiot.2024.3441253"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3441253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3441253","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","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/A5058660988","display_name":"Zhenling Mo","orcid":"https://orcid.org/0000-0002-4412-4684"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhenling Mo","raw_affiliation_strings":["School of Data Science, City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-4412-4684","affiliations":[{"raw_affiliation_string":"School of Data Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100764713","display_name":"Zijun Zhang","orcid":"https://orcid.org/0000-0002-2717-5033"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zijun Zhang","raw_affiliation_strings":["School of Data Science, City University of Hong Kong, Hong Kong, SAR, China"],"raw_orcid":"https://orcid.org/0000-0002-2717-5033","affiliations":[{"raw_affiliation_string":"School of Data Science, City University of Hong Kong, Hong Kong, SAR, China","institution_ids":["https://openalex.org/I168719708"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002878668","display_name":"Kwok\u2010Leung Tsui","orcid":"https://orcid.org/0000-0002-0558-2279"},"institutions":[{"id":"https://openalex.org/I859038795","display_name":"Virginia Tech","ror":"https://ror.org/02smfhw86","country_code":"US","type":"education","lineage":["https://openalex.org/I859038795"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwok-Leung Tsui","raw_affiliation_strings":["Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA"],"raw_orcid":"https://orcid.org/0000-0002-0558-2279","affiliations":[{"raw_affiliation_string":"Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, VA, USA","institution_ids":["https://openalex.org/I859038795"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.1383,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.95193243,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"11","issue":"22","first_page":"37287","last_page":"37301"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9986000061035156,"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":0.9986000061035156,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9984999895095825,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9894999861717224,"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/computer-science","display_name":"Computer science","score":0.749290406703949},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6488338708877563},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.6254767179489136},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47846031188964844},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.4472181499004364},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3690723180770874},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3484838008880615},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10799232125282288}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.749290406703949},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6488338708877563},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.6254767179489136},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47846031188964844},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.4472181499004364},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3690723180770874},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3484838008880615},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10799232125282288},{"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/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/jiot.2024.3441253","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3441253","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"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 Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1780900562","display_name":null,"funder_award_id":"SGDX20220530111205037","funder_id":"https://openalex.org/F4320327832","funder_display_name":"Shantou Science and Technology Project"},{"id":"https://openalex.org/G3090256062","display_name":null,"funder_award_id":"kh2304009","funder_id":"https://openalex.org/F4320336753","funder_display_name":"Changsha Science and Technology Project"}],"funders":[{"id":"https://openalex.org/F4320327832","display_name":"Shantou Science and Technology Project","ror":null},{"id":"https://openalex.org/F4320336753","display_name":"Changsha Science and Technology Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":69,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W1847213163","https://openalex.org/W2187089797","https://openalex.org/W2296349981","https://openalex.org/W2530133016","https://openalex.org/W2794775703","https://openalex.org/W2811266402","https://openalex.org/W2900367617","https://openalex.org/W2963314614","https://openalex.org/W2990226288","https://openalex.org/W2996823446","https://openalex.org/W3008748203","https://openalex.org/W3035725276","https://openalex.org/W3038585207","https://openalex.org/W3098656025","https://openalex.org/W3114632476","https://openalex.org/W3135588948","https://openalex.org/W3153511633","https://openalex.org/W3166570610","https://openalex.org/W3176065502","https://openalex.org/W3179971958","https://openalex.org/W3188947822","https://openalex.org/W3190858484","https://openalex.org/W3202645507","https://openalex.org/W4214611271","https://openalex.org/W4221159499","https://openalex.org/W4226281871","https://openalex.org/W4226343570","https://openalex.org/W4283464930","https://openalex.org/W4285237062","https://openalex.org/W4285272339","https://openalex.org/W4288287305","https://openalex.org/W4289639938","https://openalex.org/W4294975095","https://openalex.org/W4308235783","https://openalex.org/W4310413889","https://openalex.org/W4312191553","https://openalex.org/W4312575870","https://openalex.org/W4312765682","https://openalex.org/W4327568663","https://openalex.org/W4362656135","https://openalex.org/W4366310723","https://openalex.org/W4376482778","https://openalex.org/W4388811524","https://openalex.org/W4389474177","https://openalex.org/W4393147746","https://openalex.org/W4394625716","https://openalex.org/W4395690018","https://openalex.org/W6753001334","https://openalex.org/W6765285020","https://openalex.org/W6772045000","https://openalex.org/W6774630179","https://openalex.org/W6776700526","https://openalex.org/W6777179611","https://openalex.org/W6780233385","https://openalex.org/W6782948914","https://openalex.org/W6795943426","https://openalex.org/W6796672888","https://openalex.org/W6801313185","https://openalex.org/W6803185190","https://openalex.org/W6810325867","https://openalex.org/W6810917535","https://openalex.org/W6811336461","https://openalex.org/W6838584005","https://openalex.org/W6847405177","https://openalex.org/W6847461511","https://openalex.org/W6847658829","https://openalex.org/W6850406903","https://openalex.org/W6850920229"],"related_works":["https://openalex.org/W3162204513","https://openalex.org/W2371138613","https://openalex.org/W2048963458","https://openalex.org/W43109613","https://openalex.org/W2359952343","https://openalex.org/W2239445980","https://openalex.org/W2080152487","https://openalex.org/W3083152911","https://openalex.org/W3022347918","https://openalex.org/W4200527723"],"abstract_inverted_index":{"Industrial":[0],"Internet":[1],"of":[2,62,93,96,106,118,133],"Things":[3],"(IIoT)":[4],"connects":[5],"machines,":[6],"and":[7,77,123],"it":[8],"is":[9,184],"important":[10],"to":[11,15,82,114,136],"build":[12],"intelligent":[13,25],"models":[14],"prevent":[16],"machine":[17,166],"failures":[18],"by":[19],"identifying":[20],"incipient":[21],"faults.":[22],"To":[23,65,90],"develop":[24],"fault":[26,141,167],"diagnosis":[27,142,168],"models,":[28],"empirical":[29],"risk":[30,87],"minimization":[31,88],"(ERM)-based":[32],"modeling":[33,85],"paradigm":[34],"has":[35,174],"been":[36],"prevalently":[37],"applied.":[38],"However,":[39],"during":[40],"model":[41],"training,":[42],"ERM":[43,68,157],"primarily":[44],"focuses":[45],"on":[46,104,164],"instance-to-prototype":[47],"(ItP)":[48],"distances":[49,75],"from":[50],"a":[51,83,150],"prototypical":[52],"perspective,":[53],"which":[54],"may":[55],"limit":[56],"its":[57],"effectiveness":[58],"in":[59,143,158],"analyzing":[60],"data":[61,169],"diverse":[63],"distributions.":[64],"improve":[66],"the":[67,116,144],"model,":[69],"we":[70],"propose":[71],"considering":[72,120],"additional":[73],"instance-to-instance":[74],"(ItI)":[76],"prototype-to-prototype":[78],"(PtP)":[79],"distances,":[80,97],"leading":[81],"new":[84],"framework\u2014distance-aware":[86],"(DARM).":[89],"gain":[91],"awareness":[92],"extra":[94],"types":[95,132],"two":[98],"novel":[99],"losses":[100,135],"are":[101,112],"proposed":[102],"based":[103,163],"reformulations":[105],"soft-max":[107],"cross":[108],"entropy.":[109],"Theoretical":[110],"explorations":[111],"conducted":[113],"justify":[115],"significance":[117],"collectively":[119],"ItP,":[121],"ItI,":[122],"PtP":[124],"distances.":[125],"Methodologically,":[126],"DARM":[127,154,173],"can":[128],"jointly":[129],"minimize":[130],"three":[131],"distance-aware":[134],"train":[137],"neural":[138],"networks":[139],"for":[140],"same":[145],"fashion":[146],"as":[147],"ERM.":[148],"In":[149,171],"comprehensive":[151],"computational":[152],"study,":[153],"consistently":[155],"outperformed":[156],"domain":[159],"generalization":[160],"(DG)":[161],"tasks":[162],"various":[165],"sets.":[170],"addition,":[172],"superior":[175],"performance":[176],"over":[177],"several":[178],"recent":[179],"DG":[180],"methods.":[181],"The":[182],"code":[183],"available":[185],"at":[186],"<uri":[187],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[188],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">https://github.com/mozhenling/doge-darm</uri>.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-25T15:57:00.446498","created_date":"2025-10-10T00:00:00"}
