{"id":"https://openalex.org/W4295308526","doi":"https://doi.org/10.1109/tii.2022.3205638","title":"Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning","display_name":"Trustworthiness of Process Monitoring in IIoT Based on Self-Weighted Dictionary Learning","publication_year":2022,"publication_date":"2022-09-12","ids":{"openalex":"https://openalex.org/W4295308526","doi":"https://doi.org/10.1109/tii.2022.3205638"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2022.3205638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3205638","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/A5049939311","display_name":"Keke Huang","orcid":"https://orcid.org/0000-0003-3553-3424"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keke Huang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China","Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0003-3553-3424","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048918120","display_name":"Shijun Tao","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shijun Tao","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013692772","display_name":"Dehao Wu","orcid":"https://orcid.org/0000-0003-0649-1085"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dehao Wu","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-0649-1085","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101971818","display_name":"Chunhua Yang","orcid":"https://orcid.org/0000-0002-3770-9887"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunhua Yang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-3770-9887","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100711520","display_name":"Weihua Gui","orcid":"https://orcid.org/0000-0002-5337-6445"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Gui","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-5337-6445","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5031580282","display_name":"Shiyan Hu","orcid":"https://orcid.org/0000-0003-2512-0634"},"institutions":[{"id":"https://openalex.org/I43439940","display_name":"University of Southampton","ror":"https://ror.org/01ryk1543","country_code":"GB","type":"education","lineage":["https://openalex.org/I43439940"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Shiyan Hu","raw_affiliation_strings":["School of Electronics and Computer Science, University of Southampton, Southampton, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2512-0634","affiliations":[{"raw_affiliation_string":"School of Electronics and Computer Science, University of Southampton, Southampton, U.K","institution_ids":["https://openalex.org/I43439940"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7037,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.6812655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"19","issue":"1","first_page":"436","last_page":"446"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9976000189781189,"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":0.9976000189781189,"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":0.9818000197410583,"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/T12676","display_name":"Machine Learning and ELM","score":0.9818000197410583,"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":0.7781019806861877},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6026118397712708},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5336034893989563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5160736441612244},{"id":"https://openalex.org/keywords/coordinate-descent","display_name":"Coordinate descent","score":0.4981553554534912},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4868552088737488},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4668270945549011},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.456320583820343},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4285753071308136},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.42732322216033936},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.14226529002189636}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7781019806861877},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6026118397712708},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5336034893989563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5160736441612244},{"id":"https://openalex.org/C157553263","wikidata":"https://www.wikidata.org/wiki/Q5168004","display_name":"Coordinate descent","level":2,"score":0.4981553554534912},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4868552088737488},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4668270945549011},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.456320583820343},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4285753071308136},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.42732322216033936},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14226529002189636},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2022.3205638","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2022.3205638","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":[{"score":0.5299999713897705,"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure"}],"awards":[{"id":"https://openalex.org/G1416761122","display_name":null,"funder_award_id":"62073340","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G721055481","display_name":null,"funder_award_id":"61860206014","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":37,"referenced_works":["https://openalex.org/W131155259","https://openalex.org/W783438975","https://openalex.org/W1551112541","https://openalex.org/W1963932623","https://openalex.org/W1967879920","https://openalex.org/W1970537494","https://openalex.org/W2005876975","https://openalex.org/W2008686164","https://openalex.org/W2027805700","https://openalex.org/W2029747079","https://openalex.org/W2044544672","https://openalex.org/W2049488676","https://openalex.org/W2154455818","https://openalex.org/W2157785665","https://openalex.org/W2160547390","https://openalex.org/W2166371785","https://openalex.org/W2208945305","https://openalex.org/W2327851143","https://openalex.org/W2361270230","https://openalex.org/W2460778413","https://openalex.org/W2543892465","https://openalex.org/W2791950267","https://openalex.org/W2902431132","https://openalex.org/W2908271493","https://openalex.org/W2912977751","https://openalex.org/W2971348295","https://openalex.org/W2983539658","https://openalex.org/W3004036452","https://openalex.org/W3010688718","https://openalex.org/W3014704717","https://openalex.org/W3049756138","https://openalex.org/W3099438410","https://openalex.org/W3120813167","https://openalex.org/W4221019954","https://openalex.org/W4294982764","https://openalex.org/W6682494755","https://openalex.org/W6684213969"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W4285260836","https://openalex.org/W3046775127","https://openalex.org/W2353865532","https://openalex.org/W3170094116","https://openalex.org/W2556319748"],"abstract_inverted_index":{"Process":[0],"monitoring,":[1],"a":[2,73,84,99,129],"typical":[3],"application":[4],"of":[5,8,18,69,107,125,154,171],"industrial":[6,20],"Internet":[7],"Things":[9],"(IIOT),":[10],"is":[11,35,80,88,147],"crucial":[12],"to":[13,25,40,64,94,97,121,149],"ensure":[14,150],"the":[15,19,26,51,57,66,91,105,115,123,136,142,151,155,164,169,172],"reliable":[16,46],"operation":[17],"system.":[21],"In":[22,62,82],"practice,":[23],"due":[24],"harsh":[27],"environment":[28],"and":[29,32,44,55,110,118,158],"unreliable":[30,71],"sensors":[31],"actuators,":[33],"it":[34],"often":[36],"difficult":[37],"for":[38],"IIoT":[39],"collect":[41],"enough":[42],"tagged":[43],"highly":[45],"data,":[47],"which":[48],"further":[49],"degrades":[50],"process":[52,77,173],"monitoring":[53,58,78,174],"performance":[54],"makes":[56],"results":[59],"not":[60],"trustworthy.":[61],"order":[63],"reduce":[65],"negative":[67],"impact":[68],"these":[70],"factors,":[72],"self-weighted":[74],"dictionary":[75],"learning":[76],"method":[79,140,146,166],"proposed.":[81],"particular,":[83],"label":[85,101,111],"propagation":[86],"classifier":[87,157],"implemented":[89],"from":[90],"labeled":[92],"data":[93,96,109],"unlabeled":[95],"obtain":[98],"credible":[100],"prediction.":[102],"Subsequently,":[103],"considering":[104],"interference":[106],"low-quality":[108],"information,":[112],"we":[113],"reweight":[114],"classification":[116],"loss":[117],"label-consistency":[119],"constraints":[120],"enhance":[122],"trustworthiness":[124,170],"feature":[126],"extraction.":[127],"Finally,":[128],"novel":[130],"iterative":[131],"optimization":[132],"algorithm":[133],"that":[134,163],"combines":[135],"block":[137],"coordinate":[138],"descent":[139],"with":[141],"alternating":[143],"direction":[144],"multiplier":[145],"developed":[148],"convergence":[152],"speed":[153],"learned":[156],"dictionary.":[159],"Extensive":[160],"experiments":[161],"indicate":[162],"proposed":[165],"can":[167],"guarantee":[168],"results.":[175]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
