{"id":"https://openalex.org/W4409248954","doi":"https://doi.org/10.1109/tim.2025.3558748","title":"Multirate Autoregressive Dynamic Latent Variable Model for Soft Sensing in Dynamic Processes","display_name":"Multirate Autoregressive Dynamic Latent Variable Model for Soft Sensing in Dynamic Processes","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4409248954","doi":"https://doi.org/10.1109/tim.2025.3558748"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3558748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3558748","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/A5002264649","display_name":"Yaoxin Wang","orcid":"https://orcid.org/0000-0003-4547-1773"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaoxin Wang","raw_affiliation_strings":["Department of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4547-1773","affiliations":[{"raw_affiliation_string":"Department of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073760240","display_name":"Le Zhou","orcid":"https://orcid.org/0000-0002-7852-1370"},"institutions":[{"id":"https://openalex.org/I168879160","display_name":"Zhejiang University of Science and Technology","ror":"https://ror.org/05mx0wr29","country_code":"CN","type":"education","lineage":["https://openalex.org/I168879160"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Le Zhou","raw_affiliation_strings":["Department of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-7852-1370","affiliations":[{"raw_affiliation_string":"Department of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou, China","institution_ids":["https://openalex.org/I168879160"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071510858","display_name":"Shenghuang He","orcid":"https://orcid.org/0000-0002-7603-9716"},"institutions":[{"id":"https://openalex.org/I2799850029","display_name":"Dongguan University of Technology","ror":"https://ror.org/01m8p7q42","country_code":"CN","type":"education","lineage":["https://openalex.org/I2799850029"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shenghuang He","raw_affiliation_strings":["Department of Computer Science and Technology, Dongguan University of Technology, Dongguan, China"],"raw_orcid":"https://orcid.org/0000-0002-7603-9716","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Technology, Dongguan University of Technology, Dongguan, China","institution_ids":["https://openalex.org/I2799850029"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068488260","display_name":"Yuanqing Wu","orcid":"https://orcid.org/0000-0001-9509-2670"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuanqing Wu","raw_affiliation_strings":["Department of Automation, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-9509-2670","affiliations":[{"raw_affiliation_string":"Department of Automation, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.7127,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.89298194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9041000008583069,"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":0.9041000008583069,"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/autoregressive-model","display_name":"Autoregressive model","score":0.7826833724975586},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.6591810584068298},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5441833138465881},{"id":"https://openalex.org/keywords/variable","display_name":"Variable (mathematics)","score":0.48948562145233154},{"id":"https://openalex.org/keywords/star-model","display_name":"STAR model","score":0.4333537518978119},{"id":"https://openalex.org/keywords/nonlinear-autoregressive-exogenous-model","display_name":"Nonlinear autoregressive exogenous model","score":0.42372581362724304},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.3094435930252075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2607126533985138},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.2205716073513031},{"id":"https://openalex.org/keywords/autoregressive-integrated-moving-average","display_name":"Autoregressive integrated moving average","score":0.2154906690120697},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21149903535842896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1782735288143158}],"concepts":[{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.7826833724975586},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.6591810584068298},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5441833138465881},{"id":"https://openalex.org/C182365436","wikidata":"https://www.wikidata.org/wiki/Q50701","display_name":"Variable (mathematics)","level":2,"score":0.48948562145233154},{"id":"https://openalex.org/C194657046","wikidata":"https://www.wikidata.org/wiki/Q7394685","display_name":"STAR model","level":4,"score":0.4333537518978119},{"id":"https://openalex.org/C42536954","wikidata":"https://www.wikidata.org/wiki/Q7049462","display_name":"Nonlinear autoregressive exogenous model","level":3,"score":0.42372581362724304},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.3094435930252075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2607126533985138},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.2205716073513031},{"id":"https://openalex.org/C24338571","wikidata":"https://www.wikidata.org/wiki/Q2566298","display_name":"Autoregressive integrated moving average","level":3,"score":0.2154906690120697},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21149903535842896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1782735288143158},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3558748","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3558748","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/G277245410","display_name":null,"funder_award_id":"2022J002","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G2942719530","display_name":null,"funder_award_id":"62173306","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G457534570","display_name":null,"funder_award_id":"U23A20328","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G574823183","display_name":null,"funder_award_id":"2022J002","funder_id":"https://openalex.org/F4320332587","funder_display_name":"Natural Science Foundation of Ningbo"},{"id":"https://openalex.org/G7214564047","display_name":null,"funder_award_id":"2023B1515040017","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G909609534","display_name":null,"funder_award_id":"2022YFB4701300","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320332587","display_name":"Natural Science Foundation of Ningbo","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":33,"referenced_works":["https://openalex.org/W1164930623","https://openalex.org/W1986759966","https://openalex.org/W2077791644","https://openalex.org/W2120135212","https://openalex.org/W2125027820","https://openalex.org/W2161476879","https://openalex.org/W2316323201","https://openalex.org/W2342028629","https://openalex.org/W2498094064","https://openalex.org/W2757109865","https://openalex.org/W2792972374","https://openalex.org/W2907142691","https://openalex.org/W2913572852","https://openalex.org/W3097347273","https://openalex.org/W3159307704","https://openalex.org/W3183303935","https://openalex.org/W4229025315","https://openalex.org/W4285271281","https://openalex.org/W4312593557","https://openalex.org/W4312844218","https://openalex.org/W4313270785","https://openalex.org/W4323913758","https://openalex.org/W4362500663","https://openalex.org/W4387010614","https://openalex.org/W4388758241","https://openalex.org/W4390873256","https://openalex.org/W4390968842","https://openalex.org/W4392828127","https://openalex.org/W4400647693","https://openalex.org/W4401568016","https://openalex.org/W4401879144","https://openalex.org/W4403095630","https://openalex.org/W4406833738"],"related_works":["https://openalex.org/W2439807930","https://openalex.org/W2606910468","https://openalex.org/W3116827148","https://openalex.org/W4287185323","https://openalex.org/W304218021","https://openalex.org/W3123153965","https://openalex.org/W2154965898","https://openalex.org/W2098152933","https://openalex.org/W4302439501","https://openalex.org/W2962930338"],"abstract_inverted_index":{"Using":[0],"data-driven":[1],"technology":[2],"for":[3,53],"soft":[4,55],"sensing":[5],"can":[6],"significantly":[7],"reduce":[8],"the":[9,26,62],"difficulty":[10],"of":[11],"obtaining":[12],"key":[13],"quality":[14],"variables":[15],"in":[16,39,96],"industrial":[17,21],"processes.":[18],"Under":[19],"real":[20,98],"conditions":[22],"with":[23],"diverse":[24],"sensors,":[25],"measured":[27],"data":[28],"inevitably":[29],"contain":[30],"complex":[31],"multi-rate":[32,41,45,76],"and":[33,73,89,103],"dynamic":[34,42,47,54],"characteristics.":[35],"To":[36],"improve":[37],"accuracy":[38],"such":[40],"processes,":[43],"a":[44,86,100,104],"autoregressive":[46],"latent":[48],"variable":[49],"model":[50,58,79],"is":[51,59],"proposed":[52],"sensing.":[56],"The":[57,78],"built":[60],"using":[61],"expectation-maximization":[63],"algorithm,":[64],"introducing":[65],"two":[66,97],"sampling":[67],"indicators":[68],"to":[69],"extract":[70],"high-order":[71],"auto-correlation":[72],"cross-correlation":[74],"between":[75],"variables.":[77],"effectiveness":[80],"has":[81,91],"been":[82],"preliminarily":[83],"validated":[84],"through":[85],"numerical":[87],"case,":[88],"it":[90],"also":[92],"demonstrated":[93],"excellent":[94],"performance":[95],"cases:":[99],"petrochemical":[101],"process":[102],"papermaking":[105],"wastewater":[106],"treatment":[107],"process.":[108]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
