{"id":"https://openalex.org/W2917292232","doi":"https://doi.org/10.1109/access.2019.2901128","title":"Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring","display_name":"Local and Global Randomized Principal Component Analysis for Nonlinear Process Monitoring","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2917292232","doi":"https://doi.org/10.1109/access.2019.2901128","mag":"2917292232"},"language":"en","primary_location":{"id":"doi:10.1109/access.2019.2901128","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901128","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649617.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":null,"license_id":null,"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/ielx7/6287639/8600701/08649617.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5031316012","display_name":"Ping Wu","orcid":"https://orcid.org/0000-0002-2729-9669"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ping Wu","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-2729-9669","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014286361","display_name":"Lingling Guo","orcid":"https://orcid.org/0000-0002-3444-9733"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lingling Guo","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":"https://orcid.org/0000-0002-3444-9733","affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055169683","display_name":"Siwei Lou","orcid":"https://orcid.org/0000-0001-6611-4754"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siwei Lou","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010647753","display_name":"Jinfeng Gao","orcid":"https://orcid.org/0000-0002-7837-7559"},"institutions":[{"id":"https://openalex.org/I1328775524","display_name":"Zhejiang Sci-Tech University","ror":"https://ror.org/03893we55","country_code":"CN","type":"education","lineage":["https://openalex.org/I1328775524"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jinfeng Gao","raw_affiliation_strings":["Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Mechanical Engineering and Automation, Zhejiang Sci-Tech University, Hangzhou, China","institution_ids":["https://openalex.org/I1328775524"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5031316012"],"corresponding_institution_ids":["https://openalex.org/I1328775524"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":2.1926,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.87556278,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"7","issue":null,"first_page":"25547","last_page":"25562"},"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":0.9947999715805054,"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":0.9876999855041504,"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/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.7302695512771606},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6478947997093201},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.6410428285598755},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4997859001159668},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.4741620123386383},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.468083918094635},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4409189522266388},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4324561357498169},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42596012353897095},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.4240935444831848},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3903328478336334},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3856884837150574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3202188014984131},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2915157675743103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23771017789840698},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.14057514071464539}],"concepts":[{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.7302695512771606},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6478947997093201},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.6410428285598755},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4997859001159668},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.4741620123386383},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.468083918094635},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4409189522266388},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4324561357498169},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42596012353897095},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.4240935444831848},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3903328478336334},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3856884837150574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3202188014984131},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2915157675743103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23771017789840698},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.14057514071464539},{"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/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2019.2901128","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901128","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649617.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:9f26b2a070754dd3a152700be7754531","is_oa":true,"landing_page_url":"https://doaj.org/article/9f26b2a070754dd3a152700be7754531","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 7, Pp 25547-25562 (2019)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2019.2901128","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2019.2901128","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/8600701/08649617.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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3343467897","display_name":null,"funder_award_id":"61703371","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":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2917292232.pdf","grobid_xml":"https://content.openalex.org/works/W2917292232.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W63201508","https://openalex.org/W219084219","https://openalex.org/W562231173","https://openalex.org/W569770330","https://openalex.org/W1966863755","https://openalex.org/W1967106605","https://openalex.org/W1969158915","https://openalex.org/W1992382363","https://openalex.org/W1992844383","https://openalex.org/W1994505190","https://openalex.org/W2004186751","https://openalex.org/W2035205472","https://openalex.org/W2052184082","https://openalex.org/W2053186076","https://openalex.org/W2057130336","https://openalex.org/W2063823978","https://openalex.org/W2068695566","https://openalex.org/W2077615838","https://openalex.org/W2097308346","https://openalex.org/W2098815387","https://openalex.org/W2105732805","https://openalex.org/W2123395972","https://openalex.org/W2137201712","https://openalex.org/W2144902422","https://openalex.org/W2154872931","https://openalex.org/W2158958729","https://openalex.org/W2170447682","https://openalex.org/W2191513493","https://openalex.org/W2199150779","https://openalex.org/W2318574684","https://openalex.org/W2329983763","https://openalex.org/W2417218580","https://openalex.org/W2440684443","https://openalex.org/W2442657908","https://openalex.org/W2520249960","https://openalex.org/W2626923521","https://openalex.org/W2759373267","https://openalex.org/W2769355916","https://openalex.org/W2777453820","https://openalex.org/W2793832636","https://openalex.org/W2963173208","https://openalex.org/W4253930725","https://openalex.org/W6616109796","https://openalex.org/W6676014314","https://openalex.org/W6678945949","https://openalex.org/W6681302627","https://openalex.org/W6682644385"],"related_works":["https://openalex.org/W2579148721","https://openalex.org/W2379488555","https://openalex.org/W2753886092","https://openalex.org/W4387893611","https://openalex.org/W2347335694","https://openalex.org/W2152632846","https://openalex.org/W1992961908","https://openalex.org/W2091056927","https://openalex.org/W2067407580","https://openalex.org/W2014683590"],"abstract_inverted_index":{"Kernel":[0],"principal":[1,53],"component":[2,54],"analysis":[3,55,120,207],"(KPCA)":[4],"has":[5],"been":[6],"widely":[7],"used":[8],"in":[9,114],"nonlinear":[10,18,60,78,216],"process":[11,19,35,39,61,156,160,217],"monitoring":[12,36,157,218],"since":[13],"it":[14,22],"can":[15,134],"capture":[16],"the":[17,69,85,91,107,115,124,143,147,179,200,213,227,231],"characteristics.":[20],"However,":[21],"suffers":[23],"from":[24],"high":[25],"computational":[26,101],"complexity":[27],"and":[28,37,50,97,102,110,158,165,192,226],"poor":[29],"scalability":[30],"while":[31],"dealing":[32],"with":[33,98],"real-time":[34,155],"large-scale":[38,159],"monitoring.":[40,62],"In":[41],"this":[42],"paper,":[43],"a":[44,73,205,223],"novel":[45],"dimension":[46],"reduction":[47],"technique,":[48],"local":[49,109,118],"global":[51,111,127],"randomized":[52],"(LGRPCA),":[56],"is":[57,95,121,151,220],"proposed":[58,64,92,148,180,214],"for":[59,154,175],"The":[63,131,209],"LGRPCA":[65,93,133,149,181],"method":[66,94,150,219],"first":[67],"maps":[68],"input":[70,140],"space":[71,75],"onto":[72],"feature":[74,116],"to":[76,186,198],"reveal":[77],"patterns":[79],"through":[80,204,222],"random":[81,88],"Fourier":[82,89],"features.":[83],"With":[84],"aid":[86],"of":[87,126,139,212,230],"features,":[90],"scalable":[96],"much":[99],"lower":[100],"storage":[103],"costs.":[104],"To":[105],"exploit":[106],"underlying":[108],"structure":[112,119],"information":[113,129],"space,":[117],"integrated":[122],"into":[123],"framework":[125],"variance":[128],"extraction.":[130],"resulting":[132],"provide":[135],"an":[136],"improved":[137],"representation":[138],"data":[141],"than":[142],"traditional":[144],"KPCA.":[145],"Thus,":[146],"quite":[152],"suitable":[153],"monitoring.T":[161],"<sup":[162,189],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[163,190],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[164,191],"squared":[166],"prediction":[167],"error":[168],"(SPE)":[169],"statistic":[170],"control":[171],"charts":[172],"are":[173,196],"built":[174],"fault":[176],"detection":[177],"using":[178],"method.":[182],"Furthermore,":[183],"contribution":[184],"plots":[185],"LGRPCA-based":[187,215],"T":[188],"SPE":[193],"(Q)":[194],"statistics":[195],"established":[197],"identify":[199],"root":[201],"cause":[202],"variables":[203],"sensitivity":[206],"principle.":[208],"superior":[210],"performance":[211],"demonstrated":[221],"numerical":[224],"example":[225],"comparative":[228],"study":[229],"Tennessee":[232],"Eastman":[233],"benchmark":[234],"process.":[235]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":4}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}