{"id":"https://openalex.org/W2806411441","doi":"https://doi.org/10.1109/tie.2018.2838088","title":"Probabilistic Monitoring of Sensors in State-Space With Variational Bayesian Inference","display_name":"Probabilistic Monitoring of Sensors in State-Space With Variational Bayesian Inference","publication_year":2018,"publication_date":"2018-06-01","ids":{"openalex":"https://openalex.org/W2806411441","doi":"https://doi.org/10.1109/tie.2018.2838088","mag":"2806411441"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2018.2838088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2018.2838088","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/A5023417619","display_name":"Shunyi Zhao","orcid":"https://orcid.org/0000-0001-5363-8305"},"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":"Shunyi Zhao","raw_affiliation_strings":["Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047724561","display_name":"Yanjun Ma","orcid":"https://orcid.org/0000-0002-1232-6142"},"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":"Yanjun Ma","raw_affiliation_strings":["Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada"],"raw_orcid":"https://orcid.org/0000-0002-1232-6142","affiliations":[{"raw_affiliation_string":"Department of Chemical and Materials Engineering, University of Alberta, Edmonton, AB, Canada","institution_ids":["https://openalex.org/I154425047"]}]},{"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":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154425047"],"apc_list":null,"apc_paid":null,"fwci":3.1043,"has_fulltext":false,"cited_by_count":33,"citation_normalized_percentile":{"value":0.92037383,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"66","issue":"3","first_page":"2154","last_page":"2163"},"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/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9950000047683716,"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"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9879999756813049,"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/probabilistic-logic","display_name":"Probabilistic logic","score":0.548564612865448},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.5449336171150208},{"id":"https://openalex.org/keywords/covariance","display_name":"Covariance","score":0.5403012037277222},{"id":"https://openalex.org/keywords/bayesian-inference","display_name":"Bayesian inference","score":0.5392351150512695},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.5090562701225281},{"id":"https://openalex.org/keywords/state-space","display_name":"State space","score":0.4924057722091675},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4592336118221283},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.45449650287628174},{"id":"https://openalex.org/keywords/posterior-probability","display_name":"Posterior probability","score":0.45106959342956543},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43607062101364136},{"id":"https://openalex.org/keywords/tracking","display_name":"Tracking (education)","score":0.414673388004303},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.3785322606563568},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.36835598945617676},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31235015392303467},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.1670418381690979}],"concepts":[{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.548564612865448},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.5449336171150208},{"id":"https://openalex.org/C178650346","wikidata":"https://www.wikidata.org/wiki/Q201984","display_name":"Covariance","level":2,"score":0.5403012037277222},{"id":"https://openalex.org/C160234255","wikidata":"https://www.wikidata.org/wiki/Q812535","display_name":"Bayesian inference","level":3,"score":0.5392351150512695},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5090562701225281},{"id":"https://openalex.org/C72434380","wikidata":"https://www.wikidata.org/wiki/Q230930","display_name":"State space","level":2,"score":0.4924057722091675},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4592336118221283},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.45449650287628174},{"id":"https://openalex.org/C57830394","wikidata":"https://www.wikidata.org/wiki/Q278079","display_name":"Posterior probability","level":3,"score":0.45106959342956543},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43607062101364136},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.414673388004303},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.3785322606563568},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36835598945617676},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31235015392303467},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.1670418381690979},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0},{"id":"https://openalex.org/C19417346","wikidata":"https://www.wikidata.org/wiki/Q7922","display_name":"Pedagogy","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tie.2018.2838088","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2018.2838088","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation","score":0.550000011920929}],"awards":[],"funders":[{"id":"https://openalex.org/F4320334593","display_name":"Natural Sciences and Engineering Research Council of Canada","ror":"https://ror.org/01h531d29"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1482540049","https://openalex.org/W1628547760","https://openalex.org/W1969198007","https://openalex.org/W1984786788","https://openalex.org/W1985865685","https://openalex.org/W2010922160","https://openalex.org/W2020592017","https://openalex.org/W2026755043","https://openalex.org/W2051913506","https://openalex.org/W2061893297","https://openalex.org/W2072664415","https://openalex.org/W2091247827","https://openalex.org/W2095376999","https://openalex.org/W2102832680","https://openalex.org/W2113508851","https://openalex.org/W2118846378","https://openalex.org/W2121251529","https://openalex.org/W2122246449","https://openalex.org/W2126525166","https://openalex.org/W2126790865","https://openalex.org/W2130166249","https://openalex.org/W2132029223","https://openalex.org/W2149237924","https://openalex.org/W2152650864","https://openalex.org/W2156064084","https://openalex.org/W2171911691","https://openalex.org/W2319186869","https://openalex.org/W2338595933","https://openalex.org/W2343246112","https://openalex.org/W2503900448","https://openalex.org/W2510629360","https://openalex.org/W2522467422","https://openalex.org/W2549039965","https://openalex.org/W2554580583","https://openalex.org/W2559831896","https://openalex.org/W2597057696","https://openalex.org/W2607855551","https://openalex.org/W2731849056","https://openalex.org/W2745638820","https://openalex.org/W2790374560","https://openalex.org/W4247690662"],"related_works":["https://openalex.org/W2032094637","https://openalex.org/W2040227828","https://openalex.org/W2060045818","https://openalex.org/W2116442787","https://openalex.org/W2131935101","https://openalex.org/W2407375987","https://openalex.org/W856257623","https://openalex.org/W3049691116","https://openalex.org/W2505726097","https://openalex.org/W2950975704"],"abstract_inverted_index":{"Measurements":[0],"quality":[1],"is":[2,14,64,82],"important":[3],"for":[4],"process":[5],"systems":[6],"engineering.":[7],"In":[8],"this":[9],"paper,":[10],"an":[11],"estimation":[12],"scheme":[13],"proposed":[15,86,135,157],"in":[16,109],"the":[17,22,33,37,44,53,67,77,85,95,106,110,134,141,156],"state-space":[18],"form":[19],"to":[20,65,131],"monitor":[21],"degree":[23],"of":[24,26,46,55,94,98,105,112,149],"accuracy":[25],"measurements":[27],"within":[28],"a":[29,91,118,124,146],"predefined":[30],"horizon.":[31],"Under":[32],"assumption":[34],"that":[35,84,133],"all":[36],"sensors":[38,150],"are":[39,58,129],"uncorrelated":[40],"with":[41,117],"each":[42,99],"other,":[43],"distribution":[45,54,70],"measurement":[47],"noise":[48],"covariance":[49],"as":[50,52],"well":[51],"state":[56],"vector":[57],"estimated":[59],"simultaneously.":[60],"The":[61],"key":[62],"technique":[63],"approximate":[66],"true":[68],"posterior":[69],"by":[71,155],"two":[72],"independent":[73],"proposal":[74],"distributions":[75],"using":[76],"variational":[78],"Bayesian":[79],"inference.":[80],"It":[81],"shown":[83],"algorithm":[87],"provides":[88],"not":[89],"only":[90],"complete":[92],"picture":[93],"working":[96],"status":[97],"sensor,":[100],"but":[101],"also":[102],"satisfied":[103],"estimates":[104],"hidden":[107],"states":[108],"presence":[111],"faulty":[113],"signals.":[114],"Numerical":[115],"examples":[116],"moving":[119],"target":[120],"tracking":[121],"model":[122],"and":[123,144],"quadrate":[125],"water":[126],"tank":[127],"experiment":[128],"conducted":[130],"demonstrate":[132],"method":[136],"exhibits":[137],"better":[138],"performance":[139],"than":[140],"existing":[142],"methods,":[143],"even":[145],"small":[147],"fluctuation":[148],"can":[151],"be":[152],"accurately":[153],"captured":[154],"algorithm.":[158]},"counts_by_year":[{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":7},{"year":2019,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}