{"id":"https://openalex.org/W4407899894","doi":"https://doi.org/10.1109/tase.2025.3544863","title":"Rectifying Systematical Measurement Error Through Majority Pattern Mining and Semi-Supervised Prediction for Industrial Instrument","display_name":"Rectifying Systematical Measurement Error Through Majority Pattern Mining and Semi-Supervised Prediction for Industrial Instrument","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4407899894","doi":"https://doi.org/10.1109/tase.2025.3544863"},"language":"en","primary_location":{"id":"doi:10.1109/tase.2025.3544863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3544863","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","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/A5011476133","display_name":"Saige Cheng","orcid":"https://orcid.org/0000-0003-2112-5016"},"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":"Saige Cheng","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-2112-5016","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/A5100364649","display_name":"Yonggang Li","orcid":"https://orcid.org/0000-0002-6811-3429"},"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":"Yonggang Li","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-6811-3429","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/A5101563350","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0003-1396-9825"},"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":"Kai Wang","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0003-1396-9825","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/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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.03319292,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"22","issue":null,"first_page":"12500","last_page":"12511"},"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":0.7264999747276306,"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":0.7264999747276306,"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/T10320","display_name":"Neural Networks and Applications","score":0.6596999764442444,"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":0.6498000025749207,"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/computer-science","display_name":"Computer science","score":0.4956749677658081},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46504130959510803},{"id":"https://openalex.org/keywords/observational-error","display_name":"Observational error","score":0.43858465552330017},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4164160490036011},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3979484736919403},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.3793828785419464},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2694104313850403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18963932991027832}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4956749677658081},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46504130959510803},{"id":"https://openalex.org/C19619285","wikidata":"https://www.wikidata.org/wiki/Q196372","display_name":"Observational error","level":2,"score":0.43858465552330017},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4164160490036011},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3979484736919403},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3793828785419464},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2694104313850403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18963932991027832}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tase.2025.3544863","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tase.2025.3544863","pdf_url":null,"source":{"id":"https://openalex.org/S34881539","display_name":"IEEE Transactions on Automation Science and Engineering","issn_l":"1545-5955","issn":["1545-5955","1558-3783"],"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 Automation Science and Engineering","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3234587155","display_name":null,"funder_award_id":"U24A20269","funder_id":"https://openalex.org/F4320336808","funder_display_name":"National Natural Science Foundation of China-Nuclear Technology Innovation Joint Fund"},{"id":"https://openalex.org/G3499623330","display_name":null,"funder_award_id":"62373378","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7579412051","display_name":null,"funder_award_id":"U24A20269","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7784442415","display_name":null,"funder_award_id":"2023ZZTS0148","funder_id":"https://openalex.org/F4320335880","funder_display_name":"Fundamental Research Funds for Central Universities of the Central South University"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335880","display_name":"Fundamental Research Funds for Central Universities of the Central South University","ror":null},{"id":"https://openalex.org/F4320336808","display_name":"National Natural Science Foundation of China-Nuclear Technology Innovation Joint Fund","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2098318489","https://openalex.org/W2122943553","https://openalex.org/W2126185804","https://openalex.org/W2156145910","https://openalex.org/W2171037347","https://openalex.org/W2463821062","https://openalex.org/W2735496307","https://openalex.org/W2944480198","https://openalex.org/W2984353870","https://openalex.org/W3024341987","https://openalex.org/W3083547659","https://openalex.org/W3130163047","https://openalex.org/W3172758528","https://openalex.org/W3206829058","https://openalex.org/W3207247407","https://openalex.org/W4210815606","https://openalex.org/W4297498746","https://openalex.org/W4317038430","https://openalex.org/W4319988737","https://openalex.org/W4323913758","https://openalex.org/W4361858459","https://openalex.org/W4385688209","https://openalex.org/W4387776593","https://openalex.org/W4390187176","https://openalex.org/W4390204120","https://openalex.org/W4393185940","https://openalex.org/W4401568016"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474"],"abstract_inverted_index":{"Systematical":[0],"measurement":[1,47,156,164,250,258,276,302,371,388],"errors":[2,25,34,48,112,259,309],"in":[3,14,41,95,150,208,228,332],"industrial":[4,97,211,229,429],"sensors":[5],"should":[6,338],"be":[7,50,79,93,253,379],"avoided":[8],"or":[9,30],"rectified,":[10],"as":[11],"severe":[12],"discrepancies":[13],"data":[15],"can":[16,49,92,378],"impede":[17],"control,":[18],"operation,":[19],"and":[20,68,124,167,187,297,320,390,410],"evaluation.":[21],"However,":[22,304,348],"some":[23],"systematical":[24,70,111,155,163,257,370,387],"are":[26,113,231,310],"hard":[27],"to":[28,38,144,225,233,344,357],"estimate":[29,385],"experiment":[31],"with.":[32],"These":[33],"often":[35],"arise":[36],"due":[37],"the":[39,46,53,58,62,65,69,84,104,109,119,127,146,153,161,179,184,188,192,202,217,220,235,242,249,256,262,275,294,300,308,324,329,335,341,354,360,375,386,392,395,405,413,421,424],"change":[40],"external":[42,54,66,100,185],"conditions.":[43,240],"This":[44,115],"means":[45],"ignored":[51],"when":[52,404],"conditions":[55,101],"remain":[56,339],"within":[57,103,340],"designed":[59,232,362],"scope.":[60],"Generally,":[61],"relationship":[63],"between":[64],"condition":[67,186,243,330,406],"error":[71,85,157,165,372,389],"is":[72,86,121,175,199,245,261,278,293,299,318,350,408,417],"of":[73,196,204,247,264,326,334,394,412,423],"complex":[74,180],"nonlinearity,":[75],"which":[76,260,377],"may":[77],"not":[78],"analytically":[80],"tractable":[81],"so":[82,107],"rectifying":[83,191],"challenging.":[87],"Nonetheless,":[88],"a":[89,171,205,209,401,427],"general":[90],"assumption":[91,116],"made":[94],"typical":[96],"scenarios:":[98],"most":[99,128,333],"fall":[102],"design":[105,342],"scope":[106,343],"that":[108],"corresponding":[110],"0.":[114],"holds":[117],"because":[118],"sensor":[120],"generally":[122],"installed":[123],"calibrated":[125],"under":[126,238],"common":[129,352],"operating":[130],"mode.":[131],"Based":[132],"on":[133],"these":[134],"rationales,":[135],"we":[136],"first":[137],"propose":[138],"an":[139,368],"intermediate":[140],"sample-enhanced":[141],"clustering":[142],"strategy":[143,403,425],"identify":[145],"majority":[147],"pattern,":[148],"aiding":[149],"figuring":[151],"out":[152,246],"zero":[154,162],"points.":[158],"Then,":[159,367],"leveraging":[160],"information":[166],"partly":[168],"known":[169],"labels,":[170],"semi-supervised":[172],"learning":[173],"method":[174],"employed":[176],"for":[177,305,353,415],"estimating":[178],"nonlinear":[181,319],"mapping":[182],"from":[183,359],"measurement,":[189,397],"thereby":[190],"errors.":[193],"The":[194],"effectiveness":[195,422],"our":[197],"approach":[198],"demonstrated":[200,420],"through":[201],"rectification":[203,393],"density":[206],"meter":[207],"real":[210,428],"aluminum":[212],"oxide":[213],"process,":[214],"validated":[215],"by":[216,255,267],"comparison":[218],"with":[219],"laboratory":[221],"assay":[222],"outcomes.":[223],"Note":[224],"Practitioners\u2014Measurement":[226],"instruments":[227],"systems":[230],"meet":[234],"precision":[236],"requirement":[237],"specific":[239],"Once":[241],"x":[244,331,407],"scope,":[248],"y":[251,416],"will":[252],"accompanied":[254],"function":[263],"x,":[265],"denoted":[266],"<inline-formula":[268,279,287,312],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[269,280,288,313],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">":[270,281,289,314],"<tex-math":[271,282,290,315],"notation=\"LaTeX\">$f(x)$":[272,316],"</tex-math></inline-formula>.":[273],"Thus":[274],"model":[277],"notation=\"LaTeX\">$":[283],"y=y_{t}+f(x)+e$":[284],"</tex-math></inline-formula>,":[285],"where":[286],"notation=\"LaTeX\">$y_{t}$":[291],"</tex-math></inline-formula>":[292,317],"true":[295],"value":[296],"e":[298],"random":[301],"error.":[303],"many":[306],"scenarios,":[307],"complex.":[311],"even":[321],"intractable.":[322],"From":[323],"perspective":[325],"engineering":[327],"practice,":[328],"running":[336,355],"period":[337],"ensure":[345],"normal":[346],"use.":[347],"it":[349],"also":[351],"status":[356],"drift":[358],"original":[361],"working":[363],"points":[364],"over":[365],"time.":[366],"intolerant":[369],"occurs,":[373],"causing":[374],"instrument":[376],"expensive":[380],"lose":[381],"their":[382],"function.":[383],"To":[384],"implement":[391],"deviated":[396],"this":[398],"paper":[399],"proposes":[400],"data-driven":[402],"measurable":[409],"part":[411],"label":[414],"available.":[418],"We":[419],"using":[426],"application":[430],"example.":[431]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
