{"id":"https://openalex.org/W4328007235","doi":"https://doi.org/10.1109/tim.2023.3259022","title":"Twin Broad Learning System for Fault Diagnosis of Rotating Machinery","display_name":"Twin Broad Learning System for Fault Diagnosis of Rotating Machinery","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4328007235","doi":"https://doi.org/10.1109/tim.2023.3259022"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2023.3259022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3259022","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/A5015605020","display_name":"Le Yang","orcid":"https://orcid.org/0000-0001-8379-4915"},"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":true,"raw_author_name":"Le Yang","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084968702","display_name":"Zelin Yang","orcid":"https://orcid.org/0000-0002-7484-8384"},"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":"Zelin Yang","raw_affiliation_strings":["School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Software Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068624597","display_name":"Shiji Song","orcid":"https://orcid.org/0000-0001-7361-9283"},"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":"Shiji Song","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373576","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-7566-1634"},"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":"Fan Li","raw_affiliation_strings":["School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China"],"affiliations":[{"raw_affiliation_string":"School of Information and Communications Engineering, Xi&#x2019;an Jiaotong University, Xi&#x2019;an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100643265","display_name":"C. L. Philip Chen","orcid":"https://orcid.org/0000-0001-5451-7230"},"institutions":[{"id":"https://openalex.org/I90610280","display_name":"South China University of Technology","ror":"https://ror.org/0530pts50","country_code":"CN","type":"education","lineage":["https://openalex.org/I90610280"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"C. L. Philip Chen","raw_affiliation_strings":["School of Computer Science and Engineering, South China University of Technology, Guangzhou, China"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, South China University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I90610280"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5015605020"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":4.1959,"has_fulltext":false,"cited_by_count":24,"citation_normalized_percentile":{"value":0.9521939,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":"72","issue":null,"first_page":"1","last_page":"12"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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/T12676","display_name":"Machine Learning and ELM","score":0.9998000264167786,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9958000183105469,"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/T13717","display_name":"Advanced Algorithms and Applications","score":0.991100013256073,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.6571809649467468},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6476987600326538},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.5940932035446167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5930496454238892},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.576440691947937},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.47593072056770325},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4475215971469879},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.4105954170227051},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3216456174850464},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.1661829650402069},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.15417927503585815},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.138609379529953}],"concepts":[{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.6571809649467468},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6476987600326538},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5940932035446167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5930496454238892},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.576440691947937},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.47593072056770325},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4475215971469879},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.4105954170227051},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3216456174850464},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1661829650402069},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.15417927503585815},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.138609379529953},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2023.3259022","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2023.3259022","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/G2021969373","display_name":null,"funder_award_id":"92267203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4833621613","display_name":null,"funder_award_id":"2022GY-085","funder_id":"https://openalex.org/F4320336350","funder_display_name":"Key Research and Development Projects of Shaanxi Province"},{"id":"https://openalex.org/G7423033665","display_name":null,"funder_award_id":"62206215","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8754065472","display_name":null,"funder_award_id":"2022NSFSC0966","funder_id":"https://openalex.org/F4320329861","funder_display_name":"Natural Science Foundation of Sichuan Province"},{"id":"https://openalex.org/G936957210","display_name":null,"funder_award_id":"202007030006","funder_id":"https://openalex.org/F4320335480","funder_display_name":"Guangzhou Municipal Science and Technology Project"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320329861","display_name":"Natural Science Foundation of Sichuan Province","ror":null},{"id":"https://openalex.org/F4320335480","display_name":"Guangzhou Municipal Science and Technology Project","ror":null},{"id":"https://openalex.org/F4320336350","display_name":"Key Research and Development Projects of Shaanxi Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W2060304859","https://openalex.org/W2078365611","https://openalex.org/W2086777133","https://openalex.org/W2090089568","https://openalex.org/W2093417350","https://openalex.org/W2100495367","https://openalex.org/W2108033144","https://openalex.org/W2111072639","https://openalex.org/W2132425109","https://openalex.org/W2140336071","https://openalex.org/W2170860445","https://openalex.org/W2343106965","https://openalex.org/W2581853886","https://openalex.org/W2607747938","https://openalex.org/W2618530766","https://openalex.org/W2738226240","https://openalex.org/W2746111230","https://openalex.org/W2765226309","https://openalex.org/W2765317657","https://openalex.org/W2886485743","https://openalex.org/W2889731581","https://openalex.org/W2898760173","https://openalex.org/W2909885637","https://openalex.org/W2914309864","https://openalex.org/W2936912529","https://openalex.org/W2956233373","https://openalex.org/W2981742420","https://openalex.org/W2987480267","https://openalex.org/W3000357022","https://openalex.org/W3003134479","https://openalex.org/W3009370740","https://openalex.org/W3081021266","https://openalex.org/W3095770430","https://openalex.org/W3110992226","https://openalex.org/W3119535973","https://openalex.org/W3120919064","https://openalex.org/W3128729050","https://openalex.org/W3138794164","https://openalex.org/W3146835355","https://openalex.org/W3160411383","https://openalex.org/W3172466280","https://openalex.org/W4206936924","https://openalex.org/W4225709684","https://openalex.org/W4226198717","https://openalex.org/W4283721824","https://openalex.org/W4315926012","https://openalex.org/W4319319687"],"related_works":["https://openalex.org/W2286391053","https://openalex.org/W2982600058","https://openalex.org/W2378211422","https://openalex.org/W1963486701","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2312483540","https://openalex.org/W4249477090","https://openalex.org/W191745111","https://openalex.org/W2130974462"],"abstract_inverted_index":{"As":[0],"rotating":[1,141,185,201],"machines":[2],"are":[3,44],"more":[4,6],"and":[5,22,52,58],"widely":[7],"used":[8,111],"in":[9,37,68,112,171],"modem":[10],"equipment,":[11],"their":[12],"fault":[13,26,39,89,123,138,172,179,203],"diagnosis":[14,27,40,67,90,139,173,180],"is":[15,75],"important":[16],"to":[17,76,155,160],"guarantee":[18],"the":[19,48,64,78,107,120,146,151,163,189,192],"instrument\u2019s":[20],"reliability":[21],"safety.":[23],"Although":[24],"intelligent":[25],"based":[28,83],"on":[29,47,177],"deep":[30],"learning":[31,134],"(DL)":[32],"has":[33],"achieved":[34],"great":[35],"performance":[36],"many":[38],"tasks,":[41,91],"these":[42],"models":[43],"highly":[45],"dependent":[46],"large-scale":[49],"training":[50,57,95],"dataset":[51],"can":[53,115],"be":[54],"time-consuming":[55],"during":[56],"testing.":[59],"These":[60],"limitations":[61],"largely":[62],"affect":[63],"efficiency":[65],"of":[66,140,191],"real-world":[69],"applications.":[70],"An":[71],"effective":[72],"alternative":[73],"way":[74],"develop":[77],"single-layer":[79],"feedforward":[80],"networks":[81],"(SLFNs)":[82],"Broad":[84],"Learning":[85],"System":[86],"(BLS)":[87],"for":[88,137,183,200],"which":[92,166,195],"enjoy":[93],"fast":[94],"speed":[96],"as":[97,99],"well":[98],"strong":[100],"generalization":[101,169],"ability.":[102],"However,":[103],"we":[104,128],"found":[105],"that":[106],"least":[108,148],"square":[109,149],"classifier":[110],"classical":[113,147],"BLS":[114],"have":[116],"a":[117,130,197],"problem":[118],"distinguishing":[119],"possibly":[121],"overlapping":[122],"patterns.":[124],"In":[125],"this":[126],"paper,":[127],"propose":[129],"novel":[131],"twin":[132],"broad":[133],"system":[135],"(TBLS)":[136],"machinery.":[142],"Rather":[143],"than":[144],"using":[145],"method,":[150],"proposed":[152],"TBLS":[153,193],"learns":[154],"find":[156],"two":[157,178],"nonparallel":[158],"hyper-planes":[159],"deal":[161],"with":[162],"classification":[164],"problem,":[165],"shows":[167],"stronger":[168],"ability":[170],"problems.":[174],"Experimental":[175],"results":[176],"benchmark":[181],"datasets":[182],"typical":[184],"machinery":[186,202],"further":[187],"illustrate":[188],"effectiveness":[190],"methods,":[194],"offer":[196],"high-efficiency":[198],"solution":[199],"diagnosis.":[204]},"counts_by_year":[{"year":2025,"cited_by_count":12},{"year":2024,"cited_by_count":12}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
