{"id":"https://openalex.org/W4396909852","doi":"https://doi.org/10.1109/tim.2024.3400344","title":"Imbalanced Real-Time Fault Diagnosis Based on Minority-Prioritized Online Semi-Supervised Random Vector Functional Link Network","display_name":"Imbalanced Real-Time Fault Diagnosis Based on Minority-Prioritized Online Semi-Supervised Random Vector Functional Link Network","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4396909852","doi":"https://doi.org/10.1109/tim.2024.3400344"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2024.3400344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3400344","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/A5025795829","display_name":"Pengyu Han","orcid":"https://orcid.org/0009-0003-2942-0631"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Pengyu Han","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","School of Automation, Beijing Institute of Technology, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0009-0003-2942-0631","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"School of Automation, Beijing Institute of Technology, Beijing, P. R. China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034545289","display_name":"S.-S. Chen","orcid":"https://orcid.org/0009-0001-6533-7515"},"institutions":[{"id":"https://openalex.org/I4210153035","display_name":"Shanghai Construction Group (China)","ror":"https://ror.org/04azzhq34","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210153035"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijin Chen","raw_affiliation_strings":["MCC5 Group Shanghai Company Ltd., Shanghai, China","MCC5 Group Shanghai Co. LTD, ShangHai, P. R. China"],"raw_orcid":"https://orcid.org/0009-0001-6533-7515","affiliations":[{"raw_affiliation_string":"MCC5 Group Shanghai Company Ltd., Shanghai, China","institution_ids":["https://openalex.org/I4210153035"]},{"raw_affiliation_string":"MCC5 Group Shanghai Co. LTD, ShangHai, P. R. China","institution_ids":["https://openalex.org/I4210153035"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049730248","display_name":"Zeyi Liu","orcid":"https://orcid.org/0000-0003-2177-8906"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zeyi Liu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0003-2177-8906","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038690943","display_name":"Xiao He","orcid":"https://orcid.org/0000-0002-4588-0887"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiao He","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China","Department of Automation, Tsinghua University, Beijing, P. R. China"],"raw_orcid":"https://orcid.org/0000-0002-4588-0887","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, P. R. China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2645,"currency":"USD","value_usd":2645},"apc_paid":null,"fwci":2.6805,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.90218456,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"73","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9972000122070312,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9972000122070312,"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/T10220","display_name":"Machine Fault Diagnosis Techniques","score":0.9970999956130981,"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/T12676","display_name":"Machine Learning and ELM","score":0.9952999949455261,"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":0.8237645626068115},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.6803713440895081},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.6358873248100281},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.488591730594635},{"id":"https://openalex.org/keywords/prioritization","display_name":"Prioritization","score":0.47566312551498413},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4535534977912903},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4128561019897461},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4030970633029938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8237645626068115},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.6803713440895081},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.6358873248100281},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.488591730594635},{"id":"https://openalex.org/C2777615720","wikidata":"https://www.wikidata.org/wiki/Q11888847","display_name":"Prioritization","level":2,"score":0.47566312551498413},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4535534977912903},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4128561019897461},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4030970633029938},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2024.3400344","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2024.3400344","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":[{"score":0.5400000214576721,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G7256352056","display_name":null,"funder_award_id":"MCC5PHD20231107","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8400629925","display_name":null,"funder_award_id":"61733009","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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W841144446","https://openalex.org/W1495862233","https://openalex.org/W1996640396","https://openalex.org/W2072857564","https://openalex.org/W2922660557","https://openalex.org/W2993645768","https://openalex.org/W2995758361","https://openalex.org/W2999414679","https://openalex.org/W3011928337","https://openalex.org/W3019762726","https://openalex.org/W3043970225","https://openalex.org/W3081032406","https://openalex.org/W3083358932","https://openalex.org/W3093826635","https://openalex.org/W3094110601","https://openalex.org/W3096853769","https://openalex.org/W3114009846","https://openalex.org/W3119535973","https://openalex.org/W3133025401","https://openalex.org/W3134397144","https://openalex.org/W3142292878","https://openalex.org/W3146715381","https://openalex.org/W3154236835","https://openalex.org/W3156618009","https://openalex.org/W3157059293","https://openalex.org/W3165773343","https://openalex.org/W3170591781","https://openalex.org/W3179976630","https://openalex.org/W3181338450","https://openalex.org/W3188541488","https://openalex.org/W3211938539","https://openalex.org/W3215886817","https://openalex.org/W4205441678","https://openalex.org/W4205886591","https://openalex.org/W4210741351","https://openalex.org/W4212968486","https://openalex.org/W4214935091","https://openalex.org/W4284881463","https://openalex.org/W4285134483","https://openalex.org/W4286656087","https://openalex.org/W4296935122","https://openalex.org/W4298008952","https://openalex.org/W4308485707","https://openalex.org/W4313127226","https://openalex.org/W4313326430","https://openalex.org/W4365128729","https://openalex.org/W4366378396","https://openalex.org/W4385267391","https://openalex.org/W4388207980","https://openalex.org/W4388279955","https://openalex.org/W4389331447","https://openalex.org/W4394912981"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"Industrial":[0],"real-time":[1,33],"fault":[2,116],"diagnosis":[3],"is":[4,58,70,98,141],"vital":[5],"to":[6,60,72,100,120],"ensure":[7],"efficient":[8],"and":[9,38,96],"safe":[10],"production.":[11],"In":[12,43,85],"the":[13,28,63,67,75,81,88,102,122,130,134],"literature,":[14],"existing":[15,135],"methods":[16],"usually":[17],"do":[18],"not":[19],"systematically":[20],"consider":[21],"some":[22],"realistic":[23],"constraints":[24],"in":[25,80,105],"dealing":[26],"with":[27,62,112],"above":[29,64],"problem,":[30],"such":[31],"as":[32],"model":[34],"update,":[35],"sample":[36],"imbalance,":[37],"high":[39],"cost":[40],"of":[41,124],"labeling.":[42],"this":[44,86],"paper,":[45],"a":[46,113],"minority-prioritized":[47],"online":[48,82],"semi-supervised":[49],"random":[50],"vector":[51],"functional":[52],"link":[53],"network":[54],"approach,":[55],"termed":[56],"MPOS-RVFL,":[57],"proposed":[59,131],"cope":[61],"issues.":[65],"Specifically,":[66],"pseudo-labeling":[68],"technique":[69],"introduced":[71],"fully":[73],"exploit":[74],"information":[76],"from":[77],"unlabeled":[78],"samples":[79],"data":[83],"stream.":[84],"context,":[87],"approach":[89],"incorporating":[90],"minority":[91,94,108],"anchors":[92],"prioritization,":[93],"weight,":[95],"pseudo-label":[97],"developed":[99],"enhance":[101],"model\u2019s":[103],"capability":[104],"accurately":[106],"identifying":[107],"samples.":[109],"Several":[110],"experiments":[111],"real-world":[114],"gearbox":[115],"dataset":[117],"are":[118],"conducted":[119],"verify":[121],"practicality":[123],"MPOS-RVFL.":[125],"The":[126,138],"results":[127],"demonstrate":[128],"that":[129],"method":[132],"outperforms":[133],"state-of-the-art":[136],"approaches.":[137],"source":[139],"code":[140],"available":[142],"at":[143],"https://github.com/THUFDD/MPOS-RVFL.":[144]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":1}],"updated_date":"2026-08-21T09:56:20.448147","created_date":"2025-10-10T00:00:00"}
