{"id":"https://openalex.org/W4362593824","doi":"https://doi.org/10.1109/tii.2023.3264288","title":"Variational Bayesian Learning With Reliable Likelihood Approximation for Accurate Process Quality Evaluation","display_name":"Variational Bayesian Learning With Reliable Likelihood Approximation for Accurate Process Quality Evaluation","publication_year":2023,"publication_date":"2023-04-04","ids":{"openalex":"https://openalex.org/W4362593824","doi":"https://doi.org/10.1109/tii.2023.3264288"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3264288","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5100633957","display_name":"Shilong Wang","orcid":"https://orcid.org/0000-0002-3321-027X"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shilong Wang","raw_affiliation_strings":["State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081476362","display_name":"Yu Wang","orcid":"https://orcid.org/0000-0003-1794-5855"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Wang","raw_affiliation_strings":["State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002948518","display_name":"Bo Yang","orcid":"https://orcid.org/0000-0001-5086-7372"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Yang","raw_affiliation_strings":["State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014317810","display_name":"Fan Mo","orcid":"https://orcid.org/0000-0001-5743-246X"},"institutions":[{"id":"https://openalex.org/I142263535","display_name":"University of Nottingham","ror":"https://ror.org/01ee9ar58","country_code":"GB","type":"education","lineage":["https://openalex.org/I142263535"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Fan Mo","raw_affiliation_strings":["Institute of Advanced Manufacturing, University of Nottingham, Nottingham, U.K."],"affiliations":[{"raw_affiliation_string":"Institute of Advanced Manufacturing, University of Nottingham, Nottingham, U.K.","institution_ids":["https://openalex.org/I142263535"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103244879","display_name":"Zhengping Zhang","orcid":"https://orcid.org/0000-0002-6113-3072"},"institutions":[{"id":"https://openalex.org/I158842170","display_name":"Chongqing University","ror":"https://ror.org/023rhb549","country_code":"CN","type":"education","lineage":["https://openalex.org/I158842170"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengping Zhang","raw_affiliation_strings":["State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Mechanical Transmission, Chongqing University, Chongqing, China","institution_ids":["https://openalex.org/I158842170"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.298,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.547354,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":92},"biblio":{"volume":"20","issue":"1","first_page":"815","last_page":"823"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11052","display_name":"Energy Load and Power Forecasting","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T11052","display_name":"Energy Load and Power Forecasting","score":0.9993,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10603","display_name":"Smart Grid Energy Management","score":0.9878,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic 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/T10876","display_name":"Fault Detection and Control Systems","score":0.9802,"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/scada","display_name":"SCADA","score":0.78386533},{"id":"https://openalex.org/keywords/observability","display_name":"Observability","score":0.4597426},{"id":"https://openalex.org/keywords/units-of-measurement","display_name":"Units of measurement","score":0.44427374}],"concepts":[{"id":"https://openalex.org/C113863187","wikidata":"https://www.wikidata.org/wiki/Q17498","display_name":"SCADA","level":2,"score":0.78386533},{"id":"https://openalex.org/C176605952","wikidata":"https://www.wikidata.org/wiki/Q827674","display_name":"Phasor","level":4,"score":0.6649958},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6055291},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6053956},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.49846673},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48975635},{"id":"https://openalex.org/C36299963","wikidata":"https://www.wikidata.org/wiki/Q1369844","display_name":"Observability","level":2,"score":0.4597426},{"id":"https://openalex.org/C151233233","wikidata":"https://www.wikidata.org/wiki/Q47574","display_name":"Units of measurement","level":2,"score":0.44427374},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.41885895},{"id":"https://openalex.org/C89227174","wikidata":"https://www.wikidata.org/wiki/Q2388981","display_name":"Electric power system","level":3,"score":0.40304706},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3746267},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33896083},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.21196446},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.19544274},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.14531597},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.112397045},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C119599485","wikidata":"https://www.wikidata.org/wiki/Q43035","display_name":"Electrical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3264288","pdf_url":null,"source":{"id":"https://openalex.org/S184777250","display_name":"IEEE Transactions on Industrial Informatics","issn_l":"1551-3203","issn":["1551-3203","1941-0050"],"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":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China","award_id":"51975074"},{"funder":"https://openalex.org/F4320323172","funder_display_name":"Natural Science Foundation of Chongqing","award_id":"cstc2021jcyj-msxmX0732"}],"datasets":[],"versions":[],"referenced_works_count":24,"referenced_works":["https://openalex.org/W2409355369","https://openalex.org/W2605368703","https://openalex.org/W2737654582","https://openalex.org/W2808628700","https://openalex.org/W2887782657","https://openalex.org/W2902809050","https://openalex.org/W2977117446","https://openalex.org/W2989757660","https://openalex.org/W2990883225","https://openalex.org/W2999468597","https://openalex.org/W3035315884","https://openalex.org/W3085142425","https://openalex.org/W3092628223","https://openalex.org/W3098178347","https://openalex.org/W3126249451","https://openalex.org/W3131362139","https://openalex.org/W3157328161","https://openalex.org/W3176074427","https://openalex.org/W3182685990","https://openalex.org/W4206073508","https://openalex.org/W4212888625","https://openalex.org/W4225603115","https://openalex.org/W4285116605","https://openalex.org/W4292382489"],"related_works":["https://openalex.org/W2547260311","https://openalex.org/W2545170101","https://openalex.org/W2182509182","https://openalex.org/W2138143921","https://openalex.org/W2125787228","https://openalex.org/W2102647849","https://openalex.org/W2022458400","https://openalex.org/W1997080377","https://openalex.org/W1923806246","https://openalex.org/W1589114377"],"abstract_inverted_index":{"The":[0,46,59,121],"State":[1,34],"Estimation":[2,35],"(SE)":[3],"method":[4],"is":[5,100],"troubled":[6],"by":[7],"heavy":[8],"computational":[9],"tasks":[10],"and":[11,72,75,79,135],"poor":[12],"estimation":[13,132],"tracking":[14],"capability":[15],"for":[16,102],"the":[17,23,40,43,51,87,107,115,119,125,128,140],"large-scale":[18,110],"active":[19],"distribution":[20,111],"network.":[21],"Given":[22],"aforementioned":[24],"difficulty,":[25],"this":[26],"paper":[27],"proposed":[28,47,129],"a":[29,93],"novel":[30],"multi-area":[31,56],"Forecasting":[32],"Aided":[33],"(FASE)":[36],"strategy":[37,48,130],"to":[38],"perceive":[39],"state":[41],"of":[42,53,61,89,109,118,127],"system":[44],"effectively.":[45],"begins":[49],"with":[50,139],"implementation":[52],"an":[54],"improved":[55],"FASE":[57,88,104],"model.":[58],"processing":[60],"multi-source":[62],"measurement":[63],"data,":[64],"such":[65],"as":[66],"Micro":[67],"Phasor":[68],"Measurement":[69],"Units":[70],"(\u03bcPMUs)":[71],"Supervisory":[73],"Control":[74],"Data":[76],"Acquisition":[77],"(SCADA),":[78],"equivalent":[80],"load":[81],"based":[82],"information":[83],"interaction":[84],"reliably":[85],"complete":[86],"multi":[90],"areas.":[91],"Especially,":[92],"3rd":[94],"degree":[95],"dimensionality":[96],"reduction":[97],"SR-CKF":[98],"algorithm":[99],"designed":[101],"local":[103],"model":[105],"considering":[106],"influence":[108],"networks":[112],"data":[113],"on":[114],"numerical":[116,136],"stability":[117,137],"estimator.":[120],"case":[122],"study":[123],"shows":[124],"advantages":[126],"in":[131],"accuracy,":[133],"efficiency,":[134],"compared":[138],"existing":[141],"ones.":[142]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4362593824","counts_by_year":[{"year":2024,"cited_by_count":5}],"updated_date":"2024-12-11T07:54:22.236056","created_date":"2023-04-06"}