{"id":"https://openalex.org/W2006832924","doi":"https://doi.org/10.1109/acc.2010.5531334","title":"Probabilistic process monitoring with Bayesian regularization","display_name":"Probabilistic process monitoring with Bayesian regularization","publication_year":2010,"publication_date":"2010-06-01","ids":{"openalex":"https://openalex.org/W2006832924","doi":"https://doi.org/10.1109/acc.2010.5531334","mag":"2006832924"},"language":"en","primary_location":{"id":"doi:10.1109/acc.2010.5531334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2010.5531334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 American Control Conference","raw_type":"proceedings-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/A5011087139","display_name":"Muguang Zhang","orcid":null},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]},{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Muguang Zhang","raw_affiliation_strings":["Laboratory of Industrial Control Technology, Institute of Industrial Process Control, University of Zhejiang, Hangzhou, Zhejiang, China","State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Industrial Control Technology, Institute of Industrial Process Control, University of Zhejiang, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067726465","display_name":"Zhiqiang Ge","orcid":"https://orcid.org/0000-0002-2071-4380"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Ge","raw_affiliation_strings":["Laboratory of Industrial Control Technology, Institute of Industrial Process Control, University of Zhejiang, Hangzhou, Zhejiang, China","State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Industrial Control Technology, Institute of Industrial Process Control, University of Zhejiang, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5048733958","display_name":"Zhihuan Song","orcid":"https://orcid.org/0000-0003-4098-6479"},"institutions":[{"id":"https://openalex.org/I55712492","display_name":"Zhejiang University of Technology","ror":"https://ror.org/02djqfd08","country_code":"CN","type":"education","lineage":["https://openalex.org/I55712492"]},{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhihuan Song","raw_affiliation_strings":["Laboratory of Industrial Control Technology, Institute of Industrial Process Control, University of Zhejiang, Hangzhou, Zhejiang, China","State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China"],"affiliations":[{"raw_affiliation_string":"Laboratory of Industrial Control Technology, Institute of Industrial Process Control, University of Zhejiang, Hangzhou, Zhejiang, China","institution_ids":["https://openalex.org/I55712492"]},{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, Institute of Industrial Process Control, Zhejiang University, Hangzhou 310027, China","institution_ids":["https://openalex.org/I4391767838"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5011087139"],"corresponding_institution_ids":["https://openalex.org/I4391767838","https://openalex.org/I55712492"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.07562875,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"6999","last_page":"7003"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9915000200271606,"subfield":{"id":"https://openalex.org/subfields/1602","display_name":"Analytical Chemistry"},"field":{"id":"https://openalex.org/fields/16","display_name":"Chemistry"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T12282","display_name":"Mineral Processing and Grinding","score":0.9915000200271606,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8059384822845459},{"id":"https://openalex.org/keywords/probabilistic-logic","display_name":"Probabilistic logic","score":0.7766123414039612},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6632692813873291},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6412712335586548},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.6108119487762451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.541243314743042},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5187416672706604},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.482472687959671},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43448683619499207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4297640323638916},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.41004276275634766},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3963492512702942},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3733096122741699}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8059384822845459},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.7766123414039612},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6632692813873291},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6412712335586548},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.6108119487762451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.541243314743042},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5187416672706604},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.482472687959671},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43448683619499207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4297640323638916},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.41004276275634766},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3963492512702942},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3733096122741699},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/acc.2010.5531334","is_oa":false,"landing_page_url":"https://doi.org/10.1109/acc.2010.5531334","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2010 American Control Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1663973292","https://openalex.org/W1970023815","https://openalex.org/W2003250770","https://openalex.org/W2004186751","https://openalex.org/W2014822005","https://openalex.org/W2033266347","https://openalex.org/W2045624846","https://openalex.org/W2057973195","https://openalex.org/W2068193536","https://openalex.org/W2084408974","https://openalex.org/W2125027820","https://openalex.org/W2146129842","https://openalex.org/W2166042538","https://openalex.org/W2169347809","https://openalex.org/W2294460823"],"related_works":["https://openalex.org/W1975632186","https://openalex.org/W4296209631","https://openalex.org/W3027745756","https://openalex.org/W3205213561","https://openalex.org/W2531880140","https://openalex.org/W2126145365","https://openalex.org/W2036609560","https://openalex.org/W346861917","https://openalex.org/W3024018414","https://openalex.org/W1542592062"],"abstract_inverted_index":{"To":[0],"monitor":[1],"industrial":[2],"processes":[3],"through":[4],"a":[5,40,65],"probabilistic":[6,9],"manner,":[7],"the":[8,29,44,57,79,86,91],"principal":[10,46,62,67],"component":[11,47,68],"analysis":[12,48,69],"(PPCA)":[13],"method":[14,49],"has":[15,21],"recently":[16],"been":[17],"introduced.":[18],"However,":[19],"PPCA":[20],"its":[22],"inherent":[23],"limitation":[24],"that":[25],"it":[26],"cannot":[27],"determine":[28,56],"effective":[30,58],"dimensionality":[31],"of":[32,60,78,90],"latent":[33],"variables.":[34],"This":[35],"paper":[36],"intends":[37],"to":[38],"introduce":[39],"Bayesian":[41,66],"treatment":[42],"upon":[43],"traditional":[45],"for":[50],"process":[51,84],"monitoring,":[52],"which":[53],"can":[54],"automatically":[55],"number":[59],"retained":[61],"components.":[63],"Thus,":[64],"based":[70],"monitoring":[71],"approach":[72],"is":[73],"developed.":[74],"A":[75],"case":[76],"study":[77],"Tennessee":[80],"Eastman":[81],"(TE)":[82],"benchmark":[83],"shows":[85],"feasibility":[87],"and":[88],"efficiency":[89],"proposed":[92],"method.":[93]},"counts_by_year":[{"year":2014,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
