{"id":"https://openalex.org/W2983926857","doi":"https://doi.org/10.1109/tii.2019.2952931","title":"Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring","display_name":"Data-Driven Two-Dimensional Deep Correlated Representation Learning for Nonlinear Batch Process Monitoring","publication_year":2019,"publication_date":"2019-11-11","ids":{"openalex":"https://openalex.org/W2983926857","doi":"https://doi.org/10.1109/tii.2019.2952931","mag":"2983926857"},"language":"en","primary_location":{"id":"doi:10.1109/tii.2019.2952931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2952931","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/A5033312589","display_name":"Qingchao Jiang","orcid":"https://orcid.org/0000-0002-3402-9018"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Qingchao Jiang","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062609303","display_name":"Shifu Yan","orcid":"https://orcid.org/0000-0002-3540-4756"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shifu Yan","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000809799","display_name":"Xuefeng Yan","orcid":"https://orcid.org/0000-0001-5622-8686"},"institutions":[{"id":"https://openalex.org/I143593769","display_name":"East China University of Science and Technology","ror":"https://ror.org/01vyrm377","country_code":"CN","type":"education","lineage":["https://openalex.org/I143593769"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuefeng Yan","raw_affiliation_strings":["Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Key Laboratory of Advanced Control and Optimization for Chemical Processes of Ministry of Education, East China University of Science and Technology, Shanghai, China","institution_ids":["https://openalex.org/I143593769"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021185593","display_name":"Hui Yi","orcid":"https://orcid.org/0000-0002-0023-2480"},"institutions":[{"id":"https://openalex.org/I134687103","display_name":"Nanjing Tech University","ror":"https://ror.org/03sd35x91","country_code":"CN","type":"education","lineage":["https://openalex.org/I134687103"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hui Yi","raw_affiliation_strings":["College of Electronic Engineering and Control Science, Nanjing University of Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering and Control Science, Nanjing University of Technology, Nanjing, China","institution_ids":["https://openalex.org/I134687103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002154840","display_name":"Furong Gao","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Furong Gao","raw_affiliation_strings":["Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5033312589"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":6.7199,"has_fulltext":false,"cited_by_count":72,"citation_normalized_percentile":{"value":0.97306996,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"16","issue":"4","first_page":"2839","last_page":"2848"},"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":0.995199978351593,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9660999774932861,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.769811749458313},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.7509442567825317},{"id":"https://openalex.org/keywords/batch-processing","display_name":"Batch processing","score":0.69870924949646},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.6640924215316772},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6366322040557861},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5877707004547119},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5713182091712952},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.513167679309845},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.46170005202293396},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4553949236869812},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3874046802520752},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3787021040916443},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3253486752510071}],"concepts":[{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.769811749458313},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.7509442567825317},{"id":"https://openalex.org/C172658912","wikidata":"https://www.wikidata.org/wiki/Q661613","display_name":"Batch processing","level":2,"score":0.69870924949646},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.6640924215316772},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6366322040557861},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877707004547119},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5713182091712952},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.513167679309845},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.46170005202293396},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4553949236869812},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3874046802520752},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3787021040916443},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3253486752510071},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tii.2019.2952931","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tii.2019.2952931","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"},{"id":"pmh:oai:repository.ust.hk:1783.1-102202","is_oa":false,"landing_page_url":"http://lbdiscover.ust.hk/uresolver?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rfr_id=info:sid/HKUST:SPI&rft.genre=article&rft.issn=1551-3203&rft.volume=v. 16&rft.issue=(4)&rft.date=2020&rft.spage=2839&rft.aulast=Jiang&rft.aufirst=Qingchao&rft.atitle=Data-Driven+Two-Dimensional+Deep+Correlated+Representation+Learning+for+Nonlinear+Batch+Process+Monitoring&rft.title=IEEE+TRANSACTIONS+ON+INDUSTRIAL+INFORMATICS","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2620557546","display_name":null,"funder_award_id":"61603138","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5661843630","display_name":null,"funder_award_id":"ICT1900331","funder_id":"https://openalex.org/F4320322927","funder_display_name":"Zhejiang University"},{"id":"https://openalex.org/G768960609","display_name":null,"funder_award_id":"61973119","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7894832477","display_name":null,"funder_award_id":"222201917006","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/F4320322927","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884"},{"id":"https://openalex.org/F4320326952","display_name":"State Key Laboratory of Industrial Control Technology","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1523385540","https://openalex.org/W1966446042","https://openalex.org/W1979553776","https://openalex.org/W1981586857","https://openalex.org/W1994505190","https://openalex.org/W2000858991","https://openalex.org/W2011372029","https://openalex.org/W2027449228","https://openalex.org/W2037411704","https://openalex.org/W2071760975","https://openalex.org/W2072405524","https://openalex.org/W2100495367","https://openalex.org/W2106849258","https://openalex.org/W2110227608","https://openalex.org/W2122538988","https://openalex.org/W2133826245","https://openalex.org/W2158958729","https://openalex.org/W2164979439","https://openalex.org/W2181907871","https://openalex.org/W2217088832","https://openalex.org/W2296641122","https://openalex.org/W2343275297","https://openalex.org/W2494112937","https://openalex.org/W2741385306","https://openalex.org/W2759373267","https://openalex.org/W2761148314","https://openalex.org/W2788805965","https://openalex.org/W2790678878","https://openalex.org/W2883667036","https://openalex.org/W2887983432","https://openalex.org/W2891488123","https://openalex.org/W2903722520","https://openalex.org/W2911807750","https://openalex.org/W2919115771","https://openalex.org/W2959724594","https://openalex.org/W6631216910"],"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/W2669956259","https://openalex.org/W4249005693","https://openalex.org/W4392946183","https://openalex.org/W3088732000","https://openalex.org/W2105610076"],"abstract_inverted_index":{"Dynamics":[0],"and":[1,8,40,79,100,114,124,140],"nonlinearity":[2],"may":[3,82],"exist":[4],"in":[5],"the":[6,16,36,43,69,72,77,96,110,115,121,130,137,154,157],"time":[7,78,98],"batch":[9,12,45,80,151],"directions":[10,81],"for":[11,85],"processes,":[13],"thereby":[14],"complicating":[15],"monitoring":[17,128,145,160],"of":[18,42,132,156],"these":[19],"processes.":[20,46],"In":[21],"this":[22],"article,":[23],"we":[24],"propose":[25],"a":[26,58,89,133],"two-dimensional":[27],"deep":[28,62],"correlated":[29],"representation":[30],"learning":[31],"(2D-DCRL)":[32],"method":[33],"to":[34,67,119],"achieve":[35],"efficient":[37],"fault":[38],"detection":[39],"isolation":[41],"nonlinear":[44,139],"Three-way":[47],"historical":[48],"data":[49],"are":[50],"first":[51],"unfolded":[52],"as":[53],"two-way":[54],"time-slice":[55,87],"data.":[56],"Second,":[57],"stacked":[59],"autoencoder":[60],"based":[61],"neural":[63],"network":[64],"is":[65,102,107],"constructed":[66,90,116],"characterize":[68,120],"correlation":[70],"among":[71],"process":[73],"variables.":[74],"Considering":[75],"that":[76],"be":[83],"dynamic,":[84],"each":[86],"measurement,":[88],"2-D":[91,117,122,138],"measurement":[92],"containing":[93],"samples":[94],"from":[95],"previous":[97],"instants":[99],"batches":[101],"then":[103],"obtained.":[104],"Subsequently,":[105],"DCRL":[106],"performed":[108],"between":[109],"current":[111],"running-batch":[112],"measurements":[113,118],"dynamics":[123],"nonlinearity.":[125],"The":[126],"2D-DCRL-based":[127],"examines":[129],"status":[131],"sample":[134],"by":[135],"considering":[136],"dynamic":[141],"information,":[142],"providing":[143],"improved":[144],"performance.":[146],"Applications":[147],"on":[148],"two":[149],"typical":[150],"processes":[152],"demonstrate":[153],"effectiveness":[155],"proposed":[158],"2D-DCRL":[159],"scheme.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":11}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
