{"id":"https://openalex.org/W2914783956","doi":"https://doi.org/10.1080/03610918.2018.1506032","title":"Principal component analysis-based control charts using support vector machines for multivariate non-normal distributions","display_name":"Principal component analysis-based control charts using support vector machines for multivariate non-normal distributions","publication_year":2019,"publication_date":"2019-02-09","ids":{"openalex":"https://openalex.org/W2914783956","doi":"https://doi.org/10.1080/03610918.2018.1506032","mag":"2914783956"},"language":"en","primary_location":{"id":"doi:10.1080/03610918.2018.1506032","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1506032","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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":"Communications in Statistics - Simulation and Computation","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/A5049725094","display_name":"Moez Farokhnia Hamedani","orcid":"https://orcid.org/0000-0002-6441-1306"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Moez Farokhnia","raw_affiliation_strings":["Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran;"],"raw_orcid":"https://orcid.org/0000-0002-6441-1306","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sharif University of Technology, Tehran, Iran;","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064303268","display_name":"Seyed Taghi Akhavan Niaki","orcid":"https://orcid.org/0000-0001-6281-055X"},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":false,"raw_author_name":"S. T. A. Niaki","raw_affiliation_strings":["Department of Industrial Engineering, Sharif University of Tech Technology, Tehran, Iran"],"raw_orcid":"https://orcid.org/0000-0001-6281-055X","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Sharif University of Tech Technology, Tehran, Iran","institution_ids":["https://openalex.org/I133529467"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5049725094"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":0.9963,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.81102107,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"49","issue":"7","first_page":"1815","last_page":"1838"},"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9986000061035156,"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/T11871","display_name":"Advanced Statistical Methods and Models","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.8386032581329346},{"id":"https://openalex.org/keywords/dimensionality-reduction","display_name":"Dimensionality reduction","score":0.6220419406890869},{"id":"https://openalex.org/keywords/normality","display_name":"Normality","score":0.5453852415084839},{"id":"https://openalex.org/keywords/dimension","display_name":"Dimension (graph theory)","score":0.5287805795669556},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.5270581245422363},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5067351460456848},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.4933373034000397},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.485566109418869},{"id":"https://openalex.org/keywords/multivariate-normal-distribution","display_name":"Multivariate normal distribution","score":0.48249340057373047},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4774937331676483},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.46309471130371094},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.45681604743003845},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4413524866104126},{"id":"https://openalex.org/keywords/normal-distribution","display_name":"Normal distribution","score":0.43725669384002686},{"id":"https://openalex.org/keywords/statistical-process-control","display_name":"Statistical process control","score":0.41247910261154175},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.40642064809799194},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.30719441175460815},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.2571016848087311},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1923740804195404}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.8386032581329346},{"id":"https://openalex.org/C70518039","wikidata":"https://www.wikidata.org/wiki/Q16000077","display_name":"Dimensionality reduction","level":2,"score":0.6220419406890869},{"id":"https://openalex.org/C2776157432","wikidata":"https://www.wikidata.org/wiki/Q1375683","display_name":"Normality","level":2,"score":0.5453852415084839},{"id":"https://openalex.org/C33676613","wikidata":"https://www.wikidata.org/wiki/Q13415176","display_name":"Dimension (graph theory)","level":2,"score":0.5287805795669556},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.5270581245422363},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5067351460456848},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.4933373034000397},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.485566109418869},{"id":"https://openalex.org/C177384507","wikidata":"https://www.wikidata.org/wiki/Q1149000","display_name":"Multivariate normal distribution","level":3,"score":0.48249340057373047},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4774937331676483},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.46309471130371094},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.45681604743003845},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4413524866104126},{"id":"https://openalex.org/C102094743","wikidata":"https://www.wikidata.org/wiki/Q133871","display_name":"Normal distribution","level":2,"score":0.43725669384002686},{"id":"https://openalex.org/C113644684","wikidata":"https://www.wikidata.org/wiki/Q1356717","display_name":"Statistical process control","level":3,"score":0.41247910261154175},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.40642064809799194},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30719441175460815},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.2571016848087311},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1923740804195404},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1080/03610918.2018.1506032","is_oa":false,"landing_page_url":"https://doi.org/10.1080/03610918.2018.1506032","pdf_url":null,"source":{"id":"https://openalex.org/S153329750","display_name":"Communications in Statistics - Simulation and Computation","issn_l":"0361-0918","issn":["0361-0918","1532-4141"],"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":"Communications in Statistics - Simulation and Computation","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W267987303","https://openalex.org/W1489950266","https://openalex.org/W1564556749","https://openalex.org/W1869391892","https://openalex.org/W1967086152","https://openalex.org/W1973156630","https://openalex.org/W1974878368","https://openalex.org/W1975061413","https://openalex.org/W1976816660","https://openalex.org/W1979556467","https://openalex.org/W1984605331","https://openalex.org/W1987926766","https://openalex.org/W1994449045","https://openalex.org/W1998095362","https://openalex.org/W1999935041","https://openalex.org/W2001595608","https://openalex.org/W2049058890","https://openalex.org/W2067067795","https://openalex.org/W2091741383","https://openalex.org/W2112688502","https://openalex.org/W2113717565","https://openalex.org/W2114189440","https://openalex.org/W2123737232","https://openalex.org/W2137321113","https://openalex.org/W2145962650","https://openalex.org/W2157175419","https://openalex.org/W2170301564","https://openalex.org/W2295124130","https://openalex.org/W2322250920","https://openalex.org/W2338509365","https://openalex.org/W3121158818","https://openalex.org/W4205431151","https://openalex.org/W4212774754","https://openalex.org/W4233830635","https://openalex.org/W4240466294","https://openalex.org/W4242631541","https://openalex.org/W4244024201","https://openalex.org/W4299677235","https://openalex.org/W7124897463"],"related_works":["https://openalex.org/W2346052352","https://openalex.org/W2181685535","https://openalex.org/W2260512244","https://openalex.org/W2752333462","https://openalex.org/W2080586055","https://openalex.org/W2051163852","https://openalex.org/W3106703763","https://openalex.org/W161582973","https://openalex.org/W2040862285","https://openalex.org/W2019273819"],"abstract_inverted_index":{"The":[0,228,304],"growing":[1],"demand":[2],"for":[3,35,245,252],"statistical":[4],"process":[5],"monitoring":[6],"has":[7,28,179],"led":[8],"to":[9,31,49,61,76,93,137,175,203,216,248,269,283,316],"the":[10,20,51,78,90,107,111,115,118,122,132,138,155,162,166,170,181,187,205,218,222,262,285,288,294,302,312,321,324],"vast":[11],"utilization":[12],"of":[13,19,38,53,65,80,89,104,134,142,146,161,165,173,183,207,261,287,293,311,320,327],"multivariate":[14],"control":[15,71,209,250,254,271],"charts.":[16,255],"Complicated":[17],"structure":[18],"measured":[21,83,108,157],"variables":[22,84,92,100,109],"associated":[23],"with":[24,110,291],"highly":[25],"correlated":[26],"characteristics,":[27],"given":[29],"rise":[30],"daily":[32],"increasing":[33],"urge":[34],"reliable":[36,220],"substitutes":[37],"conventional":[39,246,295],"methods.":[40],"In":[41,159],"this":[42,197,233],"regard,":[43,199],"projection":[44],"methods":[45,247,299],"have":[46],"been":[47],"developed":[48],"address":[50],"issue":[52,79],"high":[54],"correlation":[55,81],"among":[56,82],"characteristics":[57],"by":[58,85],"transforming":[59],"them":[60],"an":[62],"uncorrelated":[63,96],"set":[64],"variables.":[66,158],"Principal":[67],"component":[68],"analysis":[69],"(PCA)-based":[70],"charts":[72,210],"are":[73,276],"widely":[74,191],"used":[75],"overcome":[77],"defining":[86],"linear":[87],"transformations":[88],"existing":[91,300],"a":[94,144,200,213,243,307],"new":[95],"space.":[97],"Newly":[98],"transformed":[99],"explain":[101],"different":[102],"amount":[103],"variations":[105],"in":[106,140,193,198,232,301,318],"first":[112],"PC":[113,120],"explaining":[114],"highest":[116,124],"amount,":[117],"second":[119,123],"explains":[121],"one,":[125],"and":[126,280,296,323],"so":[127],"on.":[128],"PCA,":[129],"also":[130],"gives":[131],"opportunity":[133],"dimension":[135],"reduction":[136],"researcher,":[139],"cost":[141],"losing":[143],"part":[145],"information":[147],"extracted":[148],"from":[149],"observed":[150],"variation,":[151],"yet":[152],"using":[153,278],"all":[154],"original":[156],"spite":[160],"mentioned":[163],"strength":[164],"PCA":[167],"based":[168,236],"methods,":[169],"underlying":[171],"assumption":[172,189,224,266],"observations":[174,260],"be":[176,212],"normally":[177],"distributed,":[178],"limited":[180],"applicability":[182],"PCA-based":[184,208,253],"schemes,":[185],"as":[186,242],"normality":[188,223],"is":[190,225,235,267],"violated":[192],"real":[194],"practices.":[195],"With":[196],"distribution-free":[201],"method":[202,230,290,314],"establish":[204],"limits":[206,251],"can":[211],"good":[214,309],"modification":[215],"keep":[217],"scheme":[219],"when":[221],"not":[226],"met.":[227],"proposed":[229,289,313],"presented":[231],"article":[234],"on":[237],"support":[238],"vector":[239],"machines":[240],"(SVM)":[241],"substitute":[244],"construct":[249,270],"As":[256],"SVM":[257],"uses":[258],"real-world":[259],"process,":[263],"no":[264],"distributional":[265],"required":[268],"limits.":[272],"Extensive":[273],"simulation":[274],"experiments":[275],"conducted":[277],"normal":[279],"non-normal":[281],"datasets":[282],"compare":[284],"performance":[286,310],"those":[292],"some":[297],"non-parametric":[298],"literature.":[303],"results":[305],"show":[306],"relatively":[308],"compared":[315],"others":[317],"terms":[319],"average":[322],"standard":[325],"deviation":[326],"run":[328],"lengths.":[329]},"counts_by_year":[{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}