{"id":"https://openalex.org/W3036866888","doi":"https://doi.org/10.1109/access.2020.3003095","title":"Monitoring of Nonlinear Processes With Multiple Operating Modes Through a Novel Gaussian Mixture Variational Autoencoder Model","display_name":"Monitoring of Nonlinear Processes With Multiple Operating Modes Through a Novel Gaussian Mixture Variational Autoencoder Model","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3036866888","doi":"https://doi.org/10.1109/access.2020.3003095","mag":"3036866888"},"language":"en","primary_location":{"id":"doi:10.1109/access.2020.3003095","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003095","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119397.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119397.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101903306","display_name":"Peng Tang","orcid":"https://orcid.org/0000-0002-4377-3666"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Tang","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5016153320","display_name":"Kaixiang Peng","orcid":"https://orcid.org/0000-0001-8314-3047"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaixiang Peng","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-8314-3047","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100459936","display_name":"Jie Dong","orcid":"https://orcid.org/0000-0001-7585-6637"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Dong","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7585-6637","affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100323957","display_name":"Kai Zhang","orcid":"https://orcid.org/0000-0002-3708-8945"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kai Zhang","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101873691","display_name":"Shanshan Zhao","orcid":"https://orcid.org/0000-0002-4990-0945"},"institutions":[{"id":"https://openalex.org/I92403157","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993","country_code":"CN","type":"education","lineage":["https://openalex.org/I92403157"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shanshan Zhao","raw_affiliation_strings":["Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Key Laboratory of Knowledge Automation for Industrial Processes of Ministry of Education, School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, China","institution_ids":["https://openalex.org/I92403157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I92403157"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.2974,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.78348989,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"8","issue":null,"first_page":"114487","last_page":"114500"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9995999932289124,"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":0.9995999932289124,"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":0.9948999881744385,"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/T10791","display_name":"Advanced Control Systems Optimization","score":0.9593999981880188,"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/autoencoder","display_name":"Autoencoder","score":0.8366762399673462},{"id":"https://openalex.org/keywords/gaussian","display_name":"Gaussian","score":0.6701766848564148},{"id":"https://openalex.org/keywords/mixture-model","display_name":"Mixture model","score":0.6461673974990845},{"id":"https://openalex.org/keywords/gaussian-process","display_name":"Gaussian process","score":0.5896039605140686},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.5777378082275391},{"id":"https://openalex.org/keywords/latent-variable","display_name":"Latent variable","score":0.5660932660102844},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5501020550727844},{"id":"https://openalex.org/keywords/gaussian-function","display_name":"Gaussian function","score":0.4769648313522339},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4457222521305084},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.4413849413394928},{"id":"https://openalex.org/keywords/applied-mathematics","display_name":"Applied mathematics","score":0.36587876081466675},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.333566814661026},{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.32977843284606934},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2829490303993225},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1279606819152832},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12522020936012268}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8366762399673462},{"id":"https://openalex.org/C163716315","wikidata":"https://www.wikidata.org/wiki/Q901177","display_name":"Gaussian","level":2,"score":0.6701766848564148},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.6461673974990845},{"id":"https://openalex.org/C61326573","wikidata":"https://www.wikidata.org/wiki/Q1496376","display_name":"Gaussian process","level":3,"score":0.5896039605140686},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.5777378082275391},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.5660932660102844},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5501020550727844},{"id":"https://openalex.org/C7218915","wikidata":"https://www.wikidata.org/wiki/Q1054475","display_name":"Gaussian function","level":3,"score":0.4769648313522339},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4457222521305084},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4413849413394928},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.36587876081466675},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.333566814661026},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32977843284606934},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2829490303993225},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1279606819152832},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12522020936012268},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2020.3003095","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003095","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119397.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:09603b5575d6427098f64f3ab3b5b5e6","is_oa":true,"landing_page_url":"https://doaj.org/article/09603b5575d6427098f64f3ab3b5b5e6","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 8, Pp 114487-114500 (2020)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2020.3003095","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2020.3003095","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8948470/09119397.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.5199999809265137}],"awards":[{"id":"https://openalex.org/G1981518303","display_name":null,"funder_award_id":"#61773053","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2135398491","display_name":"\u9762\u5411\u7cfb\u7edf\u5c42\u7ea7\u591a\u5de5\u51b5\u4e0b\u5e26\u94a2\u70ed\u8f67\u5168\u6d41\u7a0b\u8d28\u91cf\u76d1\u6d4b\u4e0e\u6545\u969c\u8bca\u65ad\u65b9\u6cd5\u7814\u7a76","funder_award_id":"61873024","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2511034689","display_name":null,"funder_award_id":"2017YFB 0306403","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G7249399855","display_name":null,"funder_award_id":"2017YFB0306403","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G73532461","display_name":null,"funder_award_id":"FRF-TP-19-049A1Z","funder_id":"https://openalex.org/F4320325365","funder_display_name":"University of Science and Technology Beijing"},{"id":"https://openalex.org/G8569771244","display_name":null,"funder_award_id":"FRF-TP-19-049A1Z","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/F4320325365","display_name":"University of Science and Technology Beijing","ror":"https://ror.org/02egmk993"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3036866888.pdf","grobid_xml":"https://content.openalex.org/works/W3036866888.grobid-xml"},"referenced_works_count":66,"referenced_works":["https://openalex.org/W600453947","https://openalex.org/W1542589770","https://openalex.org/W1959608418","https://openalex.org/W1964489763","https://openalex.org/W1967989298","https://openalex.org/W1970537494","https://openalex.org/W1976972876","https://openalex.org/W1994505190","https://openalex.org/W1998940406","https://openalex.org/W2004186751","https://openalex.org/W2036887017","https://openalex.org/W2037178935","https://openalex.org/W2052600262","https://openalex.org/W2060776628","https://openalex.org/W2064110888","https://openalex.org/W2068193536","https://openalex.org/W2084408974","https://openalex.org/W2098571698","https://openalex.org/W2103711750","https://openalex.org/W2113952909","https://openalex.org/W2125027820","https://openalex.org/W2126998396","https://openalex.org/W2137015384","https://openalex.org/W2143288231","https://openalex.org/W2158225746","https://openalex.org/W2158958729","https://openalex.org/W2201427885","https://openalex.org/W2214839515","https://openalex.org/W2296641122","https://openalex.org/W2301441242","https://openalex.org/W2305667248","https://openalex.org/W2314414857","https://openalex.org/W2314697109","https://openalex.org/W2321802415","https://openalex.org/W2328631136","https://openalex.org/W2413579316","https://openalex.org/W2467604901","https://openalex.org/W2520169384","https://openalex.org/W2520249960","https://openalex.org/W2556467266","https://openalex.org/W2580937131","https://openalex.org/W2741373064","https://openalex.org/W2741385306","https://openalex.org/W2756396991","https://openalex.org/W2757109865","https://openalex.org/W2766926079","https://openalex.org/W2793056747","https://openalex.org/W2794239758","https://openalex.org/W2800666469","https://openalex.org/W2807877804","https://openalex.org/W2854109523","https://openalex.org/W2889017122","https://openalex.org/W2890435229","https://openalex.org/W2912345712","https://openalex.org/W2945532623","https://openalex.org/W2948460228","https://openalex.org/W2959724594","https://openalex.org/W2983624201","https://openalex.org/W2995114611","https://openalex.org/W3018109943","https://openalex.org/W6617744952","https://openalex.org/W6640963894","https://openalex.org/W6702162793","https://openalex.org/W6720208624","https://openalex.org/W6730333270","https://openalex.org/W6738543193"],"related_works":["https://openalex.org/W2988134182","https://openalex.org/W2770818364","https://openalex.org/W1992295166","https://openalex.org/W2384408398","https://openalex.org/W2143508933","https://openalex.org/W2804516791","https://openalex.org/W2999533062","https://openalex.org/W4312290701","https://openalex.org/W4380302106","https://openalex.org/W2027072693"],"abstract_inverted_index":{"Customized":[0],"production,":[1],"quality":[2],"variation":[3],"of":[4,75,133],"raw":[5],"materials":[6],"and":[7,45,97,118],"other":[8],"factors":[9],"make":[10,81],"industrial":[11,21],"processes":[12,22,52],"work":[13],"in":[14,64,93],"multiple":[15,54],"operating":[16,28,55],"modes.":[17,56],"In":[18,30],"general,":[19],"complex":[20],"have":[23,126],"strong":[24],"nonlinearity":[25],"under":[26],"each":[27],"mode.":[29],"this":[31],"paper,":[32],"a":[33],"Gaussian":[34,43,60,85,90],"mixture":[35,44,61,86,91],"variational":[36],"autoencoder":[37],"(GMVAE)":[38],"model,":[39],"which":[40],"combines":[41],"with":[42,53],"VAE,":[46],"is":[47],"proposed":[48,135],"to":[49,58,129],"monitor":[50],"nonlinear":[51,77],"Due":[57],"the":[59,76,98,131,134],"distribution":[62,92],"limitation":[63],"latent":[65,94],"variable":[66,95],"space,":[67],"GMVAE":[68],"can":[69,110],"not":[70],"only":[71],"automatically":[72],"extract":[73],"features":[74,83],"system,":[78],"but":[79],"also":[80],"these":[82],"follow":[84],"distribution.":[87],"Based":[88],"on":[89],"space":[96],"reconstruction":[99],"error,":[100],"two":[101],"probability":[102],"monitoring":[103],"indexes":[104],"are":[105],"constructed,":[106],"whose":[107],"control":[108],"limits":[109],"be":[111],"determined":[112],"by":[113],"\u03c72distribution.":[114],"TE":[115],"benchmark":[116],"data":[117,125],"real":[119],"hot":[120],"strip":[121],"mill":[122],"process":[123],"(HSMP)":[124],"been":[127],"used":[128],"verify":[130],"effectiveness":[132],"method.":[136]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":7}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}
