{"id":"https://openalex.org/W4319302610","doi":"https://doi.org/10.1109/tii.2023.3242816","title":"A Novel Distributed CVRAE-Based Spatio-Temporal Process Monitoring Method With Its Application","display_name":"A Novel Distributed CVRAE-Based Spatio-Temporal Process Monitoring Method With Its Application","publication_year":2023,"publication_date":"2023-02-06","ids":{"openalex":"https://openalex.org/W4319302610","doi":"https://doi.org/10.1109/tii.2023.3242816"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2023.3242816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3242816","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","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/A5101903306","display_name":"Peng Tang","orcid":"https://orcid.org/0000-0002-4377-3666"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peng Tang","raw_affiliation_strings":["Pengcheng Laboratory, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4377-3666","affiliations":[{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]},{"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/A5100741331","display_name":"Zhiwen Chen","orcid":"https://orcid.org/0000-0002-4759-0904"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]},{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiwen Chen","raw_affiliation_strings":["School of Automation, Central South University, Changsha, China","Pengcheng Laboratory, Shenzhen, China","State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha, China"],"raw_orcid":"https://orcid.org/0000-0002-4759-0904","affiliations":[{"raw_affiliation_string":"School of Automation, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]},{"raw_affiliation_string":"Pengcheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]},{"raw_affiliation_string":"State Key Laboratory of High Performance Complex Manufacturing, Central South University, Changsha, China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","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"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.8403,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.83794447,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"19","issue":"11","first_page":"10987","last_page":"10997"},"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":0.9980000257492065,"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":0.9775000214576721,"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/process","display_name":"Process (computing)","score":0.6989203691482544},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5982640385627747},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.5078235268592834},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.48463279008865356},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4794386923313141},{"id":"https://openalex.org/keywords/condition-monitoring","display_name":"Condition monitoring","score":0.4761645495891571},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.4101138114929199},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3523188829421997},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.25779664516448975},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.13591134548187256},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0927639901638031}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6989203691482544},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5982640385627747},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.5078235268592834},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.48463279008865356},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4794386923313141},{"id":"https://openalex.org/C2775846686","wikidata":"https://www.wikidata.org/wiki/Q643012","display_name":"Condition monitoring","level":2,"score":0.4761645495891571},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.4101138114929199},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3523188829421997},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.25779664516448975},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.13591134548187256},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0927639901638031},{"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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tii.2023.3242816","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2023.3242816","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Industrial Informatics","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8700000047683716,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[{"id":"https://openalex.org/G1377947791","display_name":null,"funder_award_id":"\\#62173349","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5182917937","display_name":null,"funder_award_id":"U21A20483","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6026731628","display_name":null,"funder_award_id":"62273031","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1810943226","https://openalex.org/W1959608418","https://openalex.org/W1966863755","https://openalex.org/W1970088130","https://openalex.org/W1970461315","https://openalex.org/W2005800548","https://openalex.org/W2014241185","https://openalex.org/W2015436473","https://openalex.org/W2064675550","https://openalex.org/W2066102264","https://openalex.org/W2137922462","https://openalex.org/W2147703419","https://openalex.org/W2158958729","https://openalex.org/W2316093926","https://openalex.org/W2467604901","https://openalex.org/W2520169384","https://openalex.org/W2734575787","https://openalex.org/W2757109865","https://openalex.org/W2803697594","https://openalex.org/W2910119232","https://openalex.org/W2919683480","https://openalex.org/W2936254994","https://openalex.org/W2959724594","https://openalex.org/W3035533777","https://openalex.org/W3120332801","https://openalex.org/W3166788799","https://openalex.org/W4231222806","https://openalex.org/W6638273328","https://openalex.org/W6640963894","https://openalex.org/W6651825147","https://openalex.org/W6720208624","https://openalex.org/W6751494907"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2566616303","https://openalex.org/W2159052453","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W2803255133","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866"],"abstract_inverted_index":{"Due":[0],"to":[1,89,116,137,164],"the":[2,8,13,52,64,74,91,105,139,143,148,165],"interconnected":[3],"characteristics":[4],"between":[5],"subsystems":[6],"and":[7,38,111,145],"strong":[9],"correlation":[10],"within":[11],"subsystems,":[12],"monitoring":[14,47,85,119,127,161],"of":[15,96,147],"plant-wide":[16,26,65],"processes":[17,27],"has":[18],"become":[19],"a":[20,44,58,78,154],"challenging":[21],"problem,":[22],"especially":[23],"for":[24,51,121],"tandem":[25,60,75],"that":[28],"exist":[29],"in":[30],"various":[31],"industrial":[32,61],"fields,":[33],"such":[34],"as":[35],"petrochemicals,":[36],"metallurgy,":[37],"sewage":[39],"treatment.":[40],"In":[41],"this":[42],"article,":[43],"novel":[45],"spatio-temporal":[46],"method":[48,86,150],"is":[49,67,87,129],"proposed":[50,88,149],"hot":[53],"strip":[54],"mill":[55],"(HSM)":[56],"process,":[57],"typical":[59],"process.":[62,141],"First,":[63],"process":[66,84,123,156],"divided":[68],"into":[69],"different":[70],"subblocks":[71],"based":[72],"on":[73],"structure.":[76],"Then,":[77],"distributed":[79],"conditional":[80],"variational":[81],"recurrent":[82],"autoencoder-based":[83],"build":[90],"local":[92,118,122],"latent":[93,109],"variable":[94],"model":[95],"each":[97],"subsystem":[98],"using":[99],"relevant":[100],"dynamic":[101],"features":[102],"extracted":[103],"from":[104],"previous":[106],"subsystem.":[107],"The":[108],"distributions":[110],"reconstructed":[112],"errors":[113],"are":[114,151],"used":[115],"design":[117],"statistics":[120],"monitoring.":[124],"A":[125],"global":[126],"statistic":[128],"established":[130],"by":[131,153],"deep":[132],"support":[133],"vector":[134],"data":[135],"description":[136],"monitor":[138],"whole":[140],"Finally,":[142],"effectiveness":[144],"superiority":[146],"demonstrated":[152],"HSM":[155],"case,":[157],"which":[158],"shows":[159],"better":[160],"performance":[162],"compared":[163],"existing":[166],"methods.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":8},{"year":2023,"cited_by_count":1}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}