{"id":"https://openalex.org/W2895581072","doi":"https://doi.org/10.1109/tcst.2018.2870570","title":"Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data","display_name":"Neighborhood Variational Bayesian Multivariate Analysis for Distributed Process Monitoring With Missing Data","publication_year":2018,"publication_date":"2018-10-02","ids":{"openalex":"https://openalex.org/W2895581072","doi":"https://doi.org/10.1109/tcst.2018.2870570","mag":"2895581072"},"language":"en","primary_location":{"id":"doi:10.1109/tcst.2018.2870570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2018.2870570","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","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/A5033312589","display_name":"Qingchao Jiang","orcid":"https://orcid.org/0000-0002-3402-9018"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingchao Jiang","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3402-9018","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000809799","display_name":"Xuefeng Yan","orcid":"https://orcid.org/0000-0001-5622-8686"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Yan","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5622-8686","affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100432851","display_name":"Biao Huang","orcid":"https://orcid.org/0000-0001-9082-2216"},"institutions":[{"id":"https://openalex.org/I154425047","display_name":"University of Alberta","ror":"https://ror.org/0160cpw27","country_code":"CA","type":"education","lineage":["https://openalex.org/I154425047"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Biao Huang","raw_affiliation_strings":["Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0001-9082-2216","affiliations":[{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.5565,"has_fulltext":false,"cited_by_count":29,"citation_normalized_percentile":{"value":0.9029663,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"27","issue":"6","first_page":"2330","last_page":"2339"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9944999814033508,"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9908999800682068,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/missing-data","display_name":"Missing data","score":0.8283331990242004},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.6868538856506348},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6287460327148438},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6281958222389221},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.566118061542511},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.5340273380279541},{"id":"https://openalex.org/keywords/canonical-correlation","display_name":"Canonical correlation","score":0.5195460915565491},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.4454539120197296},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.42436283826828003},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3095972537994385},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.24891644716262817}],"concepts":[{"id":"https://openalex.org/C9357733","wikidata":"https://www.wikidata.org/wiki/Q6878417","display_name":"Missing data","level":2,"score":0.8283331990242004},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.6868538856506348},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6287460327148438},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6281958222389221},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.566118061542511},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.5340273380279541},{"id":"https://openalex.org/C153874254","wikidata":"https://www.wikidata.org/wiki/Q115542","display_name":"Canonical correlation","level":2,"score":0.5195460915565491},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.4454539120197296},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.42436283826828003},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3095972537994385},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.24891644716262817},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcst.2018.2870570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcst.2018.2870570","pdf_url":null,"source":{"id":"https://openalex.org/S133363738","display_name":"IEEE Transactions on Control Systems Technology","issn_l":"1063-6536","issn":["1063-6536","1558-0865","2374-0159"],"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 Control Systems Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2620557546","display_name":null,"funder_award_id":"61603138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3397010727","display_name":null,"funder_award_id":"B17017","funder_id":"https://openalex.org/F4320335785","funder_display_name":"Project 211"},{"id":"https://openalex.org/G510806226","display_name":null,"funder_award_id":"222201714027","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G6090383080","display_name":null,"funder_award_id":"222201717006","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/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"},{"id":"https://openalex.org/F4320335785","display_name":"Project 211","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1506806321","https://openalex.org/W1597576211","https://openalex.org/W1601795611","https://openalex.org/W1920010643","https://openalex.org/W1970461315","https://openalex.org/W1978994389","https://openalex.org/W1983878349","https://openalex.org/W2050773700","https://openalex.org/W2066102264","https://openalex.org/W2071813447","https://openalex.org/W2100028154","https://openalex.org/W2102832680","https://openalex.org/W2142994141","https://openalex.org/W2147703419","https://openalex.org/W2201427885","https://openalex.org/W2217088832","https://openalex.org/W2316093926","https://openalex.org/W2463821062","https://openalex.org/W2494112937","https://openalex.org/W2514088303","https://openalex.org/W2580937131","https://openalex.org/W2598325563","https://openalex.org/W2608273225","https://openalex.org/W2610267073","https://openalex.org/W2739296899","https://openalex.org/W2741385306","https://openalex.org/W2757109865","https://openalex.org/W2765753922","https://openalex.org/W2765774435","https://openalex.org/W2774720381","https://openalex.org/W2775432693","https://openalex.org/W2790035102","https://openalex.org/W2790678878","https://openalex.org/W2887983432","https://openalex.org/W2888588474","https://openalex.org/W2891711161","https://openalex.org/W2891737721","https://openalex.org/W4245241719","https://openalex.org/W4252635811","https://openalex.org/W6640122379","https://openalex.org/W6680773375"],"related_works":["https://openalex.org/W1565185441","https://openalex.org/W4380150146","https://openalex.org/W3024870410","https://openalex.org/W2410652950","https://openalex.org/W4283773154","https://openalex.org/W3139174110","https://openalex.org/W4289597203","https://openalex.org/W1968846550","https://openalex.org/W2132703645","https://openalex.org/W2474947501"],"abstract_inverted_index":{"Conventional":[0],"methods":[1],"for":[2,49,65],"distributed":[3,52],"monitoring":[4,24,53,143],"commonly":[5],"assume":[6],"that":[7],"complete":[8],"process":[9],"measurements":[10],"are":[11,69],"available.":[12],"However,":[13],"the":[14,23,50,58,88,91,95,105,133,141],"problem":[15],"of":[16,25,54,60,90,97,140],"missing":[17,61,122],"data":[18,123],"is":[19,110,145],"often":[20],"encountered":[21],"in":[22,57,150],"large-scale":[26],"multiunit":[27,55],"processes.":[28],"This":[29],"paper":[30],"proposes":[31],"an":[32,155],"approach":[33,115],"based":[34],"on":[35],"a":[36,66,98,117,151],"neighborhood":[37],"variational":[38],"Bayesian":[39],"principal":[40],"component":[41],"analysis":[42,47],"(NVBPCA)":[43],"and":[44,79,94,107,125,135,154],"canonical":[45],"correlation":[46],"(CCA)":[48],"efficient":[51],"processes":[56],"presence":[59],"data.":[62],"Missing":[63],"observations":[64],"local":[67,78,84,92,106,126,134],"unit":[68,93],"reconstructed":[70],"through":[71,147],"NVBPCA":[72],"by":[73],"considering":[74],"information":[75,102,130],"from":[76,103,131],"both":[77,104,132],"neighboring":[80,108,136],"units.":[81,137],"A":[82],"CCA-based":[83],"monitor,":[85],"which":[86],"identifies":[87],"status":[89],"type":[96],"detected":[99],"fault":[100],"using":[101],"units,":[109],"then":[111],"developed.":[112],"The":[113,138],"NVBPCA-CCA":[114],"has":[116],"better":[118],"performance":[119],"since":[120],"its":[121,148],"handling":[124],"monitor":[127],"construction":[128],"consider":[129],"efficiency":[139],"proposed":[142],"method":[144],"demonstrated":[146],"application":[149],"numerical":[152],"example":[153],"industrial":[156],"tail":[157],"gas":[158],"treatment":[159],"process.":[160]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
