{"id":"https://openalex.org/W3082813830","doi":"https://doi.org/10.1080/00207543.2020.1812750","title":"Nonparametric monitoring of multivariate data via KNN learning","display_name":"Nonparametric monitoring of multivariate data via KNN learning","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3082813830","doi":"https://doi.org/10.1080/00207543.2020.1812750","mag":"3082813830"},"language":"en","primary_location":{"id":"doi:10.1080/00207543.2020.1812750","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2020.1812750","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","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/A5075625969","display_name":"Wendong Li","orcid":"https://orcid.org/0000-0001-5517-7856"},"institutions":[{"id":"https://openalex.org/I181679659","display_name":"Shanghai University of Finance and Economics","ror":"https://ror.org/00wtvfq62","country_code":"CN","type":"education","lineage":["https://openalex.org/I181679659"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wendong Li","raw_affiliation_strings":["School of Statistics and Management, Shanghai University of Finance and Economics","School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, People's Republic of China"],"affiliations":[{"raw_affiliation_string":"School of Statistics and Management, Shanghai University of Finance and Economics","institution_ids":["https://openalex.org/I181679659"]},{"raw_affiliation_string":"School of Statistics and Management, Shanghai University of Finance and Economics, Shanghai, People's Republic of China","institution_ids":["https://openalex.org/I181679659"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089277973","display_name":"Chi Zhang","orcid":"https://orcid.org/0000-0002-6668-2329"},"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":"Chi Zhang","raw_affiliation_strings":["Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology","Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048627515","display_name":"Fugee Tsung","orcid":"https://orcid.org/0000-0002-0575-8254"},"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":"Fugee Tsung","raw_affiliation_strings":["Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology","Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Kowloon, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Industrial Engineering and Decision Analytics, Hong Kong University of Science and Technology, Kowloon, Hong Kong","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005740286","display_name":"Yajun Mei","orcid":"https://orcid.org/0000-0002-1015-990X"},"institutions":[{"id":"https://openalex.org/I130701444","display_name":"Georgia Institute of Technology","ror":"https://ror.org/01zkghx44","country_code":"US","type":"education","lineage":["https://openalex.org/I130701444"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yajun Mei","raw_affiliation_strings":["H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology","H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA"],"affiliations":[{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology","institution_ids":["https://openalex.org/I130701444"]},{"raw_affiliation_string":"H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology, Atlanta, GA, USA","institution_ids":["https://openalex.org/I130701444"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005740286"],"corresponding_institution_ids":["https://openalex.org/I130701444"],"apc_list":null,"apc_paid":null,"fwci":3.698,"has_fulltext":false,"cited_by_count":42,"citation_normalized_percentile":{"value":0.94681874,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":99},"biblio":{"volume":"59","issue":"20","first_page":"6311","last_page":"6326"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9919000267982483,"subfield":{"id":"https://openalex.org/subfields/2613","display_name":"Statistics and Probability"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9890999794006348,"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/multivariate-statistics","display_name":"Multivariate statistics","score":0.7825084924697876},{"id":"https://openalex.org/keywords/univariate","display_name":"Univariate","score":0.7820073366165161},{"id":"https://openalex.org/keywords/cusum","display_name":"CUSUM","score":0.7797757983207703},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.7587096691131592},{"id":"https://openalex.org/keywords/nonparametric-statistics","display_name":"Nonparametric statistics","score":0.6852050423622131},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.627349853515625},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6125860214233398},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5923570990562439},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.45935890078544617},{"id":"https://openalex.org/keywords/ewma-chart","display_name":"EWMA chart","score":0.4485262930393219},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.413251668214798},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3707732558250427},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.30679798126220703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2972165048122406},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.26730597019195557},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1610254943370819}],"concepts":[{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7825084924697876},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.7820073366165161},{"id":"https://openalex.org/C178518018","wikidata":"https://www.wikidata.org/wiki/Q1024555","display_name":"CUSUM","level":2,"score":0.7797757983207703},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.7587096691131592},{"id":"https://openalex.org/C102366305","wikidata":"https://www.wikidata.org/wiki/Q1097688","display_name":"Nonparametric statistics","level":2,"score":0.6852050423622131},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.627349853515625},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6125860214233398},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5923570990562439},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.45935890078544617},{"id":"https://openalex.org/C74746147","wikidata":"https://www.wikidata.org/wiki/Q5324652","display_name":"EWMA chart","level":4,"score":0.4485262930393219},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.413251668214798},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3707732558250427},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.30679798126220703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2972165048122406},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.26730597019195557},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1610254943370819},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1080/00207543.2020.1812750","is_oa":false,"landing_page_url":"https://doi.org/10.1080/00207543.2020.1812750","pdf_url":null,"source":{"id":"https://openalex.org/S65690446","display_name":"International Journal of Production Research","issn_l":"0020-7543","issn":["0020-7543","1366-588X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Production Research","raw_type":"journal-article"},{"id":"pmh:oai:RePEc:taf:tprsxx:v:59:y:2021:i:20:p:6311-6326","is_oa":false,"landing_page_url":"http://hdl.handle.net/10.1080/00207543.2020.1812750","pdf_url":null,"source":{"id":"https://openalex.org/S4306401271","display_name":"RePEc: Research Papers in Economics","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I77793887","host_organization_name":"Federal Reserve Bank of St. Louis","host_organization_lineage":["https://openalex.org/I77793887"],"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.hkust.edu.hk:1783.1-105416","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=0020-7543&rft.volume=&rft.issue=&rft.date=2020&rft.spage=&rft.aulast=Li&rft.aufirst=&rft.atitle=Nonparametric+monitoring+of+multivariate+data+via+KNN+learning&rft.title=International+Journal+of+Production+Research","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:1783.1-105416","is_oa":false,"landing_page_url":"http://repository.ust.hk/ir/Record/1783.1-105416","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":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W43850112","https://openalex.org/W1418475881","https://openalex.org/W1577401309","https://openalex.org/W1579641413","https://openalex.org/W1851149579","https://openalex.org/W1967784568","https://openalex.org/W1995445561","https://openalex.org/W1998188520","https://openalex.org/W2001595608","https://openalex.org/W2007713979","https://openalex.org/W2018319586","https://openalex.org/W2019110314","https://openalex.org/W2026639895","https://openalex.org/W2050947749","https://openalex.org/W2051903196","https://openalex.org/W2056980115","https://openalex.org/W2058989825","https://openalex.org/W2060497214","https://openalex.org/W2074013991","https://openalex.org/W2099186606","https://openalex.org/W2114189440","https://openalex.org/W2120379493","https://openalex.org/W2128018347","https://openalex.org/W2137321113","https://openalex.org/W2157175419","https://openalex.org/W2158142902","https://openalex.org/W2170301564","https://openalex.org/W2256266067","https://openalex.org/W2482053526","https://openalex.org/W2550714578","https://openalex.org/W2769301926","https://openalex.org/W2787894218","https://openalex.org/W2790454619","https://openalex.org/W2912341810","https://openalex.org/W2914601930","https://openalex.org/W4210688903","https://openalex.org/W4240466294","https://openalex.org/W4244024201","https://openalex.org/W7124897463"],"related_works":["https://openalex.org/W2030022886","https://openalex.org/W2186879593","https://openalex.org/W2101775780","https://openalex.org/W3121158818","https://openalex.org/W2021587113","https://openalex.org/W3146718930","https://openalex.org/W2031633739","https://openalex.org/W2242851928","https://openalex.org/W3082813830","https://openalex.org/W4240554920"],"abstract_inverted_index":{"Process":[0],"monitoring":[1,77,141],"of":[2,50,124,148],"multivariate":[3,26,51,78,105],"quality":[4],"attributes":[5],"is":[6,70],"important":[7],"in":[8,12],"many":[9],"industrial":[10,135],"applications,":[11],"which":[13],"rich":[14],"historical":[15,83],"data":[16,79,84,106,109],"are":[17,38,43],"often":[18,39],"available":[19],"thanks":[20],"to":[21,45,103,116],"modern":[22],"sensing":[23],"technologies.":[24],"While":[25],"statistical":[27],"process":[28],"control":[29,67,74],"(SPC)":[30],"has":[31],"been":[32],"receiving":[33],"increasing":[34],"attention,":[35],"existing":[36],"methods":[37],"inadequate":[40],"as":[41],"they":[42],"sensitive":[44],"the":[46,95,113,118,121,125,144],"parametric":[47],"model":[48],"assumptions":[49],"data.":[52,128],"In":[53],"this":[54],"paper,":[55],"we":[56],"propose":[57],"a":[58,71,133,139],"novel,":[59],"nonparametric":[60],"k-nearest":[61,96],"neighbours":[62,97],"empirical":[63,122],"cumulative":[64],"sum":[65],"(KNN-ECUSUM)":[66],"chart":[68,75],"that":[69],"machine-learning-based":[72],"black-box":[73],"for":[76,100],"by":[80],"utilising":[81],"extensive":[82],"under":[85],"both":[86],"in-control":[87],"and":[88,110,132,146],"out-of-control":[89],"scenarios.":[90],"Our":[91],"proposed":[92,150],"method":[93],"utilises":[94],"(KNN)":[98],"algorithm":[99],"dimension":[101],"reduction":[102],"transform":[104],"into":[107],"univariate":[108,127],"then":[111],"applies":[112],"CUSUM":[114],"procedure":[115],"monitor":[117],"change":[119],"on":[120,138],"distribution":[123],"transformed":[126],"Extensive":[129],"simulation":[130],"studies":[131],"real":[134],"example":[136],"based":[137],"disk":[140],"system":[142],"demonstrate":[143],"robustness":[145],"effectiveness":[147],"our":[149],"method.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":5}],"updated_date":"2026-02-08T09:19:03.324500","created_date":"2025-10-10T00:00:00"}