{"id":"https://openalex.org/W2109856984","doi":"https://doi.org/10.1109/cdc.2007.4434653","title":"Monitoring Non-normal Data with Principal Component Analysis and Adaptive Density Estimation","display_name":"Monitoring Non-normal Data with Principal Component Analysis and Adaptive Density Estimation","publication_year":2007,"publication_date":"2007-01-01","ids":{"openalex":"https://openalex.org/W2109856984","doi":"https://doi.org/10.1109/cdc.2007.4434653","mag":"2109856984"},"language":"en","primary_location":{"id":"doi:10.1109/cdc.2007.4434653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008586176","display_name":"Gregory A. Cherry","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137977","display_name":"Advanced Micro Devices (United States)","ror":"https://ror.org/04kd6c783","country_code":"US","type":"company","lineage":["https://openalex.org/I4210137977"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory A. Cherry","raw_affiliation_strings":["Advanced Micro Devices, Inc., Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Micro Devices, Inc., Austin, TX, USA","institution_ids":["https://openalex.org/I4210137977"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056937548","display_name":"S. Joe Qin","orcid":"https://orcid.org/0000-0001-7631-2535"},"institutions":[{"id":"https://openalex.org/I1174212","display_name":"University of Southern California","ror":"https://ror.org/03taz7m60","country_code":"US","type":"education","lineage":["https://openalex.org/I1174212"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"S. Joe Qin","raw_affiliation_strings":["Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Mork Family Department of Chemical Engineering and Materials Science, University of Southern California, Los Angeles, CA, USA","institution_ids":["https://openalex.org/I1174212"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.20733229,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"352","last_page":"359"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":0.9987000226974487,"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":0.9987000226974487,"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/T11236","display_name":"Control Systems and Identification","score":0.995199978351593,"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/T10320","display_name":"Neural Networks and Applications","score":0.9722999930381775,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"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":0.876507580280304},{"id":"https://openalex.org/keywords/kernel-density-estimation","display_name":"Kernel density estimation","score":0.7453428506851196},{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.7231317162513733},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.7110307216644287},{"id":"https://openalex.org/keywords/density-estimation","display_name":"Density estimation","score":0.6253371238708496},{"id":"https://openalex.org/keywords/statistic","display_name":"Statistic","score":0.6142358183860779},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5943721532821655},{"id":"https://openalex.org/keywords/multivariate-kernel-density-estimation","display_name":"Multivariate kernel density estimation","score":0.5258772373199463},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5062355399131775},{"id":"https://openalex.org/keywords/principal","display_name":"Principal (computer security)","score":0.44545602798461914},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.43175897002220154},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.365250825881958},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33650416135787964},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3005908131599426},{"id":"https://openalex.org/keywords/variable-kernel-density-estimation","display_name":"Variable kernel density estimation","score":0.23224449157714844},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.20452150702476501},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.11052849888801575}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.876507580280304},{"id":"https://openalex.org/C71134354","wikidata":"https://www.wikidata.org/wiki/Q458825","display_name":"Kernel density estimation","level":3,"score":0.7453428506851196},{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.7231317162513733},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.7110307216644287},{"id":"https://openalex.org/C189508267","wikidata":"https://www.wikidata.org/wiki/Q17088227","display_name":"Density estimation","level":3,"score":0.6253371238708496},{"id":"https://openalex.org/C89128539","wikidata":"https://www.wikidata.org/wiki/Q1949963","display_name":"Statistic","level":2,"score":0.6142358183860779},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5943721532821655},{"id":"https://openalex.org/C84894716","wikidata":"https://www.wikidata.org/wiki/Q6935135","display_name":"Multivariate kernel density estimation","level":5,"score":0.5258772373199463},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5062355399131775},{"id":"https://openalex.org/C144559511","wikidata":"https://www.wikidata.org/wiki/Q2986279","display_name":"Principal (computer security)","level":2,"score":0.44545602798461914},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.43175897002220154},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.365250825881958},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33650416135787964},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3005908131599426},{"id":"https://openalex.org/C195699287","wikidata":"https://www.wikidata.org/wiki/Q7915722","display_name":"Variable kernel density estimation","level":4,"score":0.23224449157714844},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.20452150702476501},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.11052849888801575},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cdc.2007.4434653","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cdc.2007.4434653","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2007 46th IEEE Conference on Decision and Control","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1968797001","https://openalex.org/W1971052017","https://openalex.org/W1978677160","https://openalex.org/W1978994389","https://openalex.org/W1993681779","https://openalex.org/W1996125472","https://openalex.org/W1998378660","https://openalex.org/W2001752379","https://openalex.org/W2003516238","https://openalex.org/W2005051528","https://openalex.org/W2010627116","https://openalex.org/W2030704357","https://openalex.org/W2040251481","https://openalex.org/W2044882668","https://openalex.org/W2049633694","https://openalex.org/W2052761631","https://openalex.org/W2052938780","https://openalex.org/W2059392663","https://openalex.org/W2061400633","https://openalex.org/W2070115943","https://openalex.org/W2083875149","https://openalex.org/W2087720659","https://openalex.org/W2091797506","https://openalex.org/W2095518865","https://openalex.org/W2118020555","https://openalex.org/W2127800670","https://openalex.org/W4253254860","https://openalex.org/W4285719527","https://openalex.org/W4302434451","https://openalex.org/W7048738093"],"related_works":["https://openalex.org/W1482149696","https://openalex.org/W2115980193","https://openalex.org/W2026307144","https://openalex.org/W4241010850","https://openalex.org/W2583877436","https://openalex.org/W3212687977","https://openalex.org/W2977337932","https://openalex.org/W2144201579","https://openalex.org/W3123419490","https://openalex.org/W2776263260"],"abstract_inverted_index":{"The":[0],"issue":[1],"of":[2,17,24,94],"monitoring":[3,41],"non-normally":[4],"distributed":[5],"data":[6],"with":[7],"principal":[8,26],"component":[9,27],"analysis":[10],"(PCA)":[11],"is":[12],"addressed":[13],"through":[14],"the":[15,22,25,63,83,86,92],"application":[16],"density":[18,31,64],"estimation":[19,32],"for":[20,40,62],"evaluating":[21],"quality":[23],"scores.":[28],"Although":[29],"kernel":[30],"has":[33],"been":[34],"previously":[35],"cited":[36],"as":[37],"a":[38,95],"method":[39],"such":[42],"data,":[43],"mixture":[44],"models":[45],"are":[46,66,70],"proposed":[47],"here":[48],"in":[49],"order":[50],"to":[51,91],"reduce":[52],"model":[53],"complexity":[54],"and":[55,68],"computational":[56],"effort.":[57],"Furthermore,":[58],"several":[59],"adaptation":[60],"strategies":[61],"estimators":[65,84],"developed":[67],"suggestions":[69],"provided":[71],"on":[72],"their":[73],"use.":[74],"A":[75],"rapid":[76],"thermal":[77],"anneal":[78],"case":[79],"study":[80],"demonstrates":[81],"how":[82],"outperform":[85],"traditional":[87],"Hotelling's":[88],"T2statistic":[89],"due":[90],"presence":[93],"first":[96],"wafer":[97],"effect.":[98]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2018,"cited_by_count":1},{"year":2015,"cited_by_count":1},{"year":2014,"cited_by_count":1},{"year":2013,"cited_by_count":1},{"year":2012,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
