{"id":"https://openalex.org/W3039223525","doi":"https://doi.org/10.1109/access.2020.3005716","title":"Just-in-Time Learning-Based Soft Sensor for Mechanical Properties of Strip Steel via Multi-Block Weighted Semisupervised Models","display_name":"Just-in-Time Learning-Based Soft Sensor for Mechanical Properties of Strip Steel via Multi-Block Weighted Semisupervised Models","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3039223525","doi":"https://doi.org/10.1109/access.2020.3005716","mag":"3039223525"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3005716","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005716","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09127931.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09127931.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100459936","display_name":"Jie Dong","orcid":"https://orcid.org/0000-0001-7585-6637"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Dong","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7585-6637","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101632823","display_name":"Yingze Tian","orcid":"https://orcid.org/0000-0002-1321-3684"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingze Tian","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-1321-3684","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016153320","display_name":"Kaixiang Peng","orcid":"https://orcid.org/0000-0001-8314-3047"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Peng","raw_affiliation_strings":["Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China","Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8314-3047","affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]},{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3538,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.56254631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"8","issue":null,"first_page":"123869","last_page":"123881"},"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9909999966621399,"subfield":{"id":"https://openalex.org/subfields/2210","display_name":"Mechanical 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/T12564","display_name":"Sensor Technology and Measurement Systems","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6073152422904968},{"id":"https://openalex.org/keywords/block","display_name":"Block (permutation group theory)","score":0.5967716574668884},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5116605758666992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3766063451766968},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1624508500099182}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6073152422904968},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.5967716574668884},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5116605758666992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3766063451766968},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1624508500099182},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3005716","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005716","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09127931.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:894614c0821746e39d9fe1c57d0b60f5","is_oa":true,"landing_page_url":"https://doaj.org/article/894614c0821746e39d9fe1c57d0b60f5","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 123869-123881 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3005716","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3005716","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09127931.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2135398491","display_name":"\u9762\u5411\u7cfb\u7edf\u5c42\u7ea7\u591a\u5de5\u51b5\u4e0b\u5e26\u94a2\u70ed\u8f67\u5168\u6d41\u7a0b\u8d28\u91cf\u76d1\u6d4b\u4e0e\u6545\u969c\u8bca\u65ad\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61873024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5345354591","display_name":null,"funder_award_id":"61773053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6850434380","display_name":null,"funder_award_id":"2017YFB0306403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7249399855","display_name":null,"funder_award_id":"2017YFB0306403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G73532461","display_name":null,"funder_award_id":"FRF-TP-19-049A1Z","funder_id":"https://openalex.org/F4320325365","funder_display_name":"University of Science and Technology Beijing"},{"id":"https://openalex.org/G8569771244","display_name":null,"funder_award_id":"FRF-TP-19-049A1Z","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320325365","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3039223525.pdf","grobid_xml":"https://content.openalex.org/works/W3039223525.grobid-xml"},"referenced_works_count":24,"referenced_works":["https://openalex.org/W1870365817","https://openalex.org/W1969833588","https://openalex.org/W1980147362","https://openalex.org/W2003187834","https://openalex.org/W2033845410","https://openalex.org/W2055995379","https://openalex.org/W2062368510","https://openalex.org/W2071026144","https://openalex.org/W2073503722","https://openalex.org/W2157136988","https://openalex.org/W2321339439","https://openalex.org/W2463821062","https://openalex.org/W2520634214","https://openalex.org/W2539756354","https://openalex.org/W2725265870","https://openalex.org/W2739791970","https://openalex.org/W2810016643","https://openalex.org/W2811481367","https://openalex.org/W2886613299","https://openalex.org/W2921849857","https://openalex.org/W2942322192","https://openalex.org/W2974374461","https://openalex.org/W2984637522","https://openalex.org/W2996973560"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"Mechanical":[0],"properties":[1,186],"are":[2,92,112,137,164,179,191,211],"important":[3],"indexes":[4],"to":[5,123,148,155,166],"evaluate":[6],"the":[7,19,42,52,62,69,89,96,107,140,150,156,168,171,214],"quality":[8],"of":[9,21,31,44,55,64,170,177,184,207],"hot":[10,22,200],"rolling":[11,23,201],"strips.":[12],"It":[13],"is":[14,57,86,146,187],"a":[15,72,195,199],"research":[16],"hotspot":[17],"in":[18,41,88,95],"field":[20],"that":[24],"realizing":[25],"timely":[26],"and":[27,47,102,181,198,205],"accurate":[28],"soft":[29,35,84,97,209],"sensing":[30,36],"mechanical":[32,185],"properties.":[33],"Traditional":[34],"methods":[37],"have":[38],"poor":[39],"performance":[40],"application":[43],"strong":[45],"nonlinearity":[46],"multiple":[48],"working":[49],"conditions.":[50],"Moreover,":[51],"utilization":[53],"rate":[54,136],"data":[56],"relatively":[58],"low,":[59],"which":[60],"limit":[61],"improvement":[63],"prediction":[65,183],"accuracy.":[66],"To":[67],"solve":[68],"problems":[70],"above,":[71],"just-in-time":[73],"learning":[74],"(JITL)":[75],"based":[76],"multi-block":[77],"weighted":[78],"semisupervised":[79,162],"Gaussian":[80],"mixture":[81],"regression":[82],"(JMWSSGMR)":[83],"sensor":[85,210],"proposed":[87,208],"paper.":[90],"There":[91],"two":[93],"stages":[94],"sensor:":[98],"off-line":[99,108],"variable":[100],"blocking":[101],"on-line":[103,141],"local":[104],"modeling.":[105],"In":[106,128,139],"phase,":[109,142],"process":[110],"variables":[111,132],"divided":[113],"into":[114],"different":[115],"sub-blocks":[116],"by":[117,213],"partial":[118],"least":[119],"square":[120],"(PLS)":[121],"according":[122],"distinct":[124],"principal":[125],"component":[126],"directions.":[127],"each":[129],"sub-block,":[130],"original":[131],"with":[133],"high":[134],"contribution":[135],"retained.":[138],"optimized":[143],"Mahalanobis":[144],"distance":[145],"constructed":[147],"select":[149],"most":[151],"similar":[152],"historical":[153],"samples":[154],"query":[157,172],"sample.":[158,173],"Next,":[159],"various":[160],"real-time":[161],"sub-models":[163,178],"built":[165],"estimate":[167],"output":[169],"Finally,":[174],"predicted":[175,215],"values":[176],"fused":[180],"ultimate":[182],"obtained.":[188],"Case":[189],"studies":[190],"carried":[192],"out":[193],"on":[194],"numerical":[196],"example":[197],"process.":[202],"The":[203],"feasibility":[204],"effectiveness":[206],"verified":[212],"results.":[216]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}