{"id":"https://openalex.org/W2950426297","doi":"https://doi.org/10.1109/tie.2019.2922941","title":"Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares","display_name":"Data-Driven Batch-End Quality Modeling and Monitoring Based on Optimized Sparse Partial Least Squares","publication_year":2019,"publication_date":"2019-06-19","ids":{"openalex":"https://openalex.org/W2950426297","doi":"https://doi.org/10.1109/tie.2019.2922941","mag":"2950426297"},"language":"en","primary_location":{"id":"doi:10.1109/tie.2019.2922941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2019.2922941","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","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/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":"https://orcid.org/0000-0002-5900-1353"},"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"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"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, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Chemical and Biomolecular Engineering, The Hong Kong University of Science and Technology, Hong Kong","institution_ids":["https://openalex.org/I200769079","https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5033312589"],"corresponding_institution_ids":["https://openalex.org/I143593769"],"apc_list":null,"apc_paid":null,"fwci":10.4779,"has_fulltext":false,"cited_by_count":129,"citation_normalized_percentile":{"value":0.98723425,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"67","issue":"5","first_page":"4098","last_page":"4107"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9968000054359436,"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":0.9955000281333923,"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/partial-least-squares-regression","display_name":"Partial least squares regression","score":0.814917802810669},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7123762369155884},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6006166934967041},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4820050299167633},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.4246869385242462},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4158400297164917},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.39943939447402954},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.27966827154159546}],"concepts":[{"id":"https://openalex.org/C22354355","wikidata":"https://www.wikidata.org/wiki/Q422009","display_name":"Partial least squares regression","level":2,"score":0.814917802810669},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7123762369155884},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6006166934967041},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4820050299167633},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.4246869385242462},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4158400297164917},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.39943939447402954},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27966827154159546},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/tie.2019.2922941","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tie.2019.2922941","pdf_url":null,"source":{"id":"https://openalex.org/S58031724","display_name":"IEEE Transactions on Industrial Electronics","issn_l":"0278-0046","issn":["0278-0046","1557-9948"],"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 Electronics","raw_type":"journal-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-103494","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-103494","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":null,"raw_type":"Article"},{"id":"pmh:oai:repository.ust.hk:1783.1-103494","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=0278-0046&rft.volume=v. 67&rft.issue=(5)&rft.date=2020&rft.spage=4098&rft.aulast=Jiang&rft.aufirst=Q.&rft.atitle=Data-Driven+Batch-End+Quality+Modeling+and+Monitoring+Based+on+Optimized+Sparse+Partial+Least+Squares&rft.title=IEEE+Transactions+on+Industrial+Electronics","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":[{"id":"https://metadata.un.org/sdg/9","display_name":"Industry, innovation and infrastructure","score":0.4300000071525574}],"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/G6905653140","display_name":null,"funder_award_id":"21878081","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":33,"referenced_works":["https://openalex.org/W1590747627","https://openalex.org/W1597576211","https://openalex.org/W1993172622","https://openalex.org/W1996195892","https://openalex.org/W2000651380","https://openalex.org/W2023047224","https://openalex.org/W2037195491","https://openalex.org/W2041602210","https://openalex.org/W2049440201","https://openalex.org/W2063100141","https://openalex.org/W2069546111","https://openalex.org/W2072405524","https://openalex.org/W2072857564","https://openalex.org/W2110227608","https://openalex.org/W2119387367","https://openalex.org/W2119862467","https://openalex.org/W2136295067","https://openalex.org/W2158958729","https://openalex.org/W2169016202","https://openalex.org/W2170917242","https://openalex.org/W2201427885","https://openalex.org/W2295856041","https://openalex.org/W2342648890","https://openalex.org/W2494112937","https://openalex.org/W2502852798","https://openalex.org/W2594381291","https://openalex.org/W2608273225","https://openalex.org/W2774690135","https://openalex.org/W2884573927","https://openalex.org/W2887983432","https://openalex.org/W2911807750","https://openalex.org/W3023540311","https://openalex.org/W6725043014"],"related_works":["https://openalex.org/W2905433371","https://openalex.org/W4361193272","https://openalex.org/W4310278675","https://openalex.org/W2806259446","https://openalex.org/W2963326959","https://openalex.org/W4311431240","https://openalex.org/W4312407344","https://openalex.org/W4384115502","https://openalex.org/W4226258012","https://openalex.org/W2146739527"],"abstract_inverted_index":{"Batch-end":[0],"quality":[1,8,45,66,95,142],"modeling":[2,46,61,96,114,147],"is":[3,80,89,98,137,151],"used":[4],"to":[5,173],"predict":[6],"the":[7,26,31,77,83,86,102,131,141,170,175,178],"by":[9,100],"using":[10],"batch":[11],"measurements":[12],"and":[13,68,82,106,113,124,148,159],"generally":[14],"involves":[15],"a":[16,135,154],"large":[17],"number":[18],"of":[19,25,48,73,85,177],"predictor":[20,51],"variables.":[21,52],"However,":[22],"not":[23,40],"all":[24],"variables":[27,75,121,126],"are":[28,116,122,127,167],"beneficial":[29],"for":[30,43,63,139],"prediction.":[32],"Conventional":[33],"multiway":[34],"partial":[35],"least":[36],"squares":[37],"(PLS)":[38],"may":[39],"function":[41],"properly":[42],"batch-end":[44,65,94],"because":[47,118],"many":[49],"irrelevant":[50,74],"This":[53],"paper":[54],"proposes":[55],"an":[56,92,160],"optimized":[57],"sparse":[58,107],"PLS":[59,108],"(OSPLS)":[60],"approach":[62,97,150],"simultaneous":[64],"prediction":[67],"relevant-variable":[69,87],"selection.":[70],"The":[71,110,144,165],"effect":[72],"on":[76,130,153],"quality-prediction":[78,111],"performance":[79],"analyzed,":[81],"importance":[84],"selection":[88],"emphasized.":[90],"Then,":[91],"OSPLS":[93,179],"developed":[99],"incorporating":[101],"variable":[103],"resolution":[104],"optimization":[105],"modeling.":[109],"accuracy":[112],"interpretability":[115],"improved":[117],"only":[119],"quality-relevant":[120,133],"selected,":[123],"quality-irrelevant":[125],"eliminated.":[128],"Based":[129],"selected":[132],"variables,":[134],"statistic":[136],"established":[138],"monitoring":[140,149],"status.":[143],"proposed":[145],"OSPLS-based":[146],"applied":[152],"fed-batch":[155],"penicillin":[156],"fermentation":[157],"process":[158],"industrial":[161],"injection":[162],"molding":[163],"process.":[164],"results":[166],"compared":[168],"with":[169],"state-of-the-art":[171],"methods":[172],"verify":[174],"effectiveness":[176],"approach.":[180]},"counts_by_year":[{"year":2025,"cited_by_count":21},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":28},{"year":2022,"cited_by_count":25},{"year":2021,"cited_by_count":23},{"year":2020,"cited_by_count":13},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}