{"id":"https://openalex.org/W4285177827","doi":"https://doi.org/10.1109/tii.2022.3180389","title":"LM-CNN: A Cloud-Edge Collaborative Method for Adaptive Fault Diagnosis With Label Sampling Space Enlarging","display_name":"LM-CNN: A Cloud-Edge Collaborative Method for Adaptive Fault Diagnosis With Label Sampling Space Enlarging","publication_year":2022,"publication_date":"2022-06-08","ids":{"openalex":"https://openalex.org/W4285177827","doi":"https://doi.org/10.1109/tii.2022.3180389"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3180389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3180389","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Informatics","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/A5028426177","display_name":"Lei Ren","orcid":"https://orcid.org/0000-0001-6346-6930"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lei Ren","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017044026","display_name":"Zidi Jia","orcid":"https://orcid.org/0000-0002-3746-7742"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zidi Jia","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100453641","display_name":"Tao Wang","orcid":"https://orcid.org/0000-0003-0201-8100"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Wang","raw_affiliation_strings":["School of Automation Science and Electrical Engineering, Beihang University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Automation Science and Electrical Engineering, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024303770","display_name":"Yehan Ma","orcid":"https://orcid.org/0000-0002-8595-1619"},"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":"Yehan Ma","raw_affiliation_strings":["School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100434965","display_name":"Lihui Wang","orcid":"https://orcid.org/0000-0001-8679-8049"},"institutions":[{"id":"https://openalex.org/I86987016","display_name":"KTH Royal Institute of Technology","ror":"https://ror.org/026vcq606","country_code":"SE","type":"education","lineage":["https://openalex.org/I86987016"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Lihui Wang","raw_affiliation_strings":["Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden"],"affiliations":[{"raw_affiliation_string":"Department of Production Engineering, KTH Royal Institute of Technology, Stockholm, Sweden","institution_ids":["https://openalex.org/I86987016"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5028426177"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":5.4237,"has_fulltext":false,"cited_by_count":43,"citation_normalized_percentile":{"value":0.96014429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":"18","issue":"12","first_page":"9057","last_page":"9067"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/T12111","display_name":"Industrial Vision Systems and Defect Detection","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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":0.9919000267982483,"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/T10763","display_name":"Digital Transformation in Industry","score":0.9855999946594238,"subfield":{"id":"https://openalex.org/subfields/2209","display_name":"Industrial and Manufacturing 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/cloud-computing","display_name":"Cloud computing","score":0.7363059520721436},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6517804861068726},{"id":"https://openalex.org/keywords/fault","display_name":"Fault (geology)","score":0.5890154242515564},{"id":"https://openalex.org/keywords/enhanced-data-rates-for-gsm-evolution","display_name":"Enhanced Data Rates for GSM Evolution","score":0.5848469138145447},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5374987125396729},{"id":"https://openalex.org/keywords/sampling","display_name":"Sampling (signal processing)","score":0.5089566707611084},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.48857221007347107},{"id":"https://openalex.org/keywords/cloud-manufacturing","display_name":"Cloud manufacturing","score":0.48050010204315186},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4736676812171936},{"id":"https://openalex.org/keywords/adaptive-sampling","display_name":"Adaptive sampling","score":0.44235560297966003},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.4380491077899933},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.41575708985328674},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.41191020607948303},{"id":"https://openalex.org/keywords/real-time-computing","display_name":"Real-time computing","score":0.37054675817489624},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.331808477640152},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.11003664135932922},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.1099686324596405}],"concepts":[{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.7363059520721436},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6517804861068726},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.5890154242515564},{"id":"https://openalex.org/C162307627","wikidata":"https://www.wikidata.org/wiki/Q204833","display_name":"Enhanced Data Rates for GSM Evolution","level":2,"score":0.5848469138145447},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5374987125396729},{"id":"https://openalex.org/C140779682","wikidata":"https://www.wikidata.org/wiki/Q210868","display_name":"Sampling (signal processing)","level":3,"score":0.5089566707611084},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.48857221007347107},{"id":"https://openalex.org/C2778819808","wikidata":"https://www.wikidata.org/wiki/Q5135707","display_name":"Cloud manufacturing","level":3,"score":0.48050010204315186},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4736676812171936},{"id":"https://openalex.org/C2781395549","wikidata":"https://www.wikidata.org/wiki/Q4680762","display_name":"Adaptive sampling","level":3,"score":0.44235560297966003},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4380491077899933},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41575708985328674},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.41191020607948303},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.37054675817489624},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.331808477640152},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.11003664135932922},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.1099686324596405},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","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},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3180389","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3180389","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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 Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","score":0.5199999809265137,"display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G3160825066","display_name":null,"funder_award_id":"62173023","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6608322027","display_name":null,"funder_award_id":"92167108","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W243674440","https://openalex.org/W856269280","https://openalex.org/W1597576211","https://openalex.org/W1981616524","https://openalex.org/W2086281524","https://openalex.org/W2131077880","https://openalex.org/W2416799949","https://openalex.org/W2556013418","https://openalex.org/W2606788990","https://openalex.org/W2746111230","https://openalex.org/W2766401293","https://openalex.org/W2768753204","https://openalex.org/W2771498160","https://openalex.org/W2787444476","https://openalex.org/W2806395723","https://openalex.org/W2821911925","https://openalex.org/W2887782657","https://openalex.org/W2900529838","https://openalex.org/W2912687720","https://openalex.org/W2912744143","https://openalex.org/W2920270483","https://openalex.org/W2941721201","https://openalex.org/W2961333734","https://openalex.org/W2972270478","https://openalex.org/W2975932043","https://openalex.org/W2985646593","https://openalex.org/W2989542485","https://openalex.org/W2989818023","https://openalex.org/W2992525328","https://openalex.org/W3008309516","https://openalex.org/W3019898994","https://openalex.org/W3094102195","https://openalex.org/W3123454130","https://openalex.org/W3159562992","https://openalex.org/W3164675724","https://openalex.org/W3174788865","https://openalex.org/W3204162860","https://openalex.org/W3217429229","https://openalex.org/W4206652641","https://openalex.org/W4214883719","https://openalex.org/W4221059245","https://openalex.org/W6771378952","https://openalex.org/W6784260353"],"related_works":["https://openalex.org/W2522565568","https://openalex.org/W2051106391","https://openalex.org/W2967920229","https://openalex.org/W2568028109","https://openalex.org/W2296507804","https://openalex.org/W2913247776","https://openalex.org/W2230900064","https://openalex.org/W4206999807","https://openalex.org/W2081046049","https://openalex.org/W2613461059"],"abstract_inverted_index":{"In":[0,132],"cloud":[1,97,146],"manufacturing":[2,11,147],"systems,":[3],"fault":[4,19,35,63,83,104,140],"diagnosis":[5,20,84,141],"is":[6,29,110,130,149],"essential":[7],"for":[8,81,139,142],"ensuring":[9],"stable":[10],"processes.":[12],"The":[13],"most":[14,44],"crucial":[15],"performance":[16],"indicators":[17],"of":[18,34,45,51,72,116,157],"models":[21],"are":[22],"generalization":[23],"and":[24,32,59,155],"accuracy.":[25],"An":[26],"urgent":[27],"problem":[28],"the":[30,49,70,114,153],"lack":[31],"imbalance":[33],"data.":[36,64],"To":[37],"address":[38],"this":[39,42],"issue,":[40],"in":[41,96,145],"article,":[43],"existing":[46],"approaches":[47,66],"demand":[48],"label":[50,86,105],"faults":[52],"as":[53],"<italic":[54],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[55],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">a":[56],"priori</i>":[57],"knowledge":[58],"require":[60],"extensive":[61],"target":[62],"These":[65],"may":[67],"also":[68],"ignore":[69],"heterogeneity":[71],"various":[73],"equipment.":[74],"We":[75],"propose":[76],"a":[77,100,120,134],"cloud-edge":[78,135],"collaborative":[79,136],"method":[80,125],"adaptive":[82],"with":[85,126],"sampling":[87,106,129],"space":[88,107],"enlarging,":[89],"named":[90],"label-split":[91],"multiple-inputs":[92],"convolutional":[93],"neural":[94],"network,":[95],"manufacturing.":[98],"First,":[99],"multiattribute":[101],"cooperative":[102],"representation-based":[103],"enlarging":[108],"approach":[109,138],"proposed":[111],"to":[112],"extend":[113],"variety":[115],"diagnosable":[117],"faults.":[118],"Besides,":[119],"multi-input":[121],"multi-output":[122],"data":[123],"augmentation":[124],"label-coupling":[127],"weighted":[128],"developed.":[131],"addition,":[133],"adaptation":[137],"scene-specific":[143],"equipment":[144],"system":[148],"proposed.":[150],"Experiments":[151],"demonstrate":[152],"effectiveness":[154],"accuracy":[156],"our":[158],"method.":[159]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":9},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}
