{"id":"https://openalex.org/W2394464030","doi":null,"title":"A fault detection approach using relative principal component analysis","display_name":"A fault detection approach using relative principal component analysis","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2394464030","mag":"2394464030"},"language":"en","primary_location":{"id":"mag:2394464030","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-BJHY201404019.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764965351","display_name":"Journal of Beijing University of Chemical Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4327875405","host_organization_name":"Beijing University of Chemical Technology","host_organization_lineage":["https://openalex.org/P4327875405"],"host_organization_lineage_names":["Beijing University of Chemical Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Beijing University of Chemical Technology","raw_type":null},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"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/A5014081366","display_name":"Ouyang Gao","orcid":"https://orcid.org/0000-0001-6149-0582","observed_orcids":["https://orcid.org/0000-0001-6149-0582"]},"institutions":[{"id":"https://openalex.org/I75390827","display_name":"Beijing University of Chemical Technology","ror":"https://ror.org/00df5yc52","country_code":"CN","type":"education","lineage":["https://openalex.org/I75390827"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ouyang Gao","raw_affiliation_strings":["College of Information Science & Technology, Beijing University of Chemical Technology"],"raw_orcid":"https://orcid.org/0000-0001-6149-0582","affiliations":[{"raw_affiliation_string":"College of Information Science & Technology, Beijing University of Chemical Technology","institution_ids":["https://openalex.org/I75390827"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5014081366"],"corresponding_institution_ids":["https://openalex.org/I75390827"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10876","display_name":"Fault Detection and Control Systems","score":1.0,"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":1.0,"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.0,"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"}},{"id":"https://openalex.org/T11443","display_name":"Advanced Statistical Process Monitoring","score":0.0,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/fault-detection","display_name":"fault detection","score":0.9670000076293945},{"id":"https://openalex.org/keywords/t2-statistic","display_name":"T2 statistic","score":0.7480000257492065},{"id":"https://openalex.org/keywords/squared-prediction-error","display_name":"squared prediction error","score":0.9769999980926514},{"id":"https://openalex.org/keywords/multivariate-statistical-process-control","display_name":"multivariate statistical process control","score":0.7689999938011169},{"id":"https://openalex.org/keywords/tennessee-eastman-process","display_name":"Tennessee Eastman process","score":0.984000027179718},{"id":"https://openalex.org/keywords/false-alarm-reduction","display_name":"false alarm reduction","score":0.7549999952316284},{"id":"https://openalex.org/keywords/fault-early-warning","display_name":"fault early warning","score":0.6200000047683716}],"concepts":[{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.9233174324035645},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6389617919921875},{"id":"https://openalex.org/C185142706","wikidata":"https://www.wikidata.org/wiki/Q1134404","display_name":"Covariance matrix","level":2,"score":0.5590777397155762},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5091881155967712},{"id":"https://openalex.org/C175551986","wikidata":"https://www.wikidata.org/wiki/Q47089","display_name":"Fault (geology)","level":2,"score":0.49153169989585876},{"id":"https://openalex.org/C2777382242","wikidata":"https://www.wikidata.org/wiki/Q6017816","display_name":"Index (typography)","level":2,"score":0.46755826473236084},{"id":"https://openalex.org/C190190378","wikidata":"https://www.wikidata.org/wiki/Q1192625","display_name":"Process capability index","level":3,"score":0.46374520659446716},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.4304816722869873},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.4149777889251709},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41057878732681274},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3850358724594116},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.36174649000167847},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.29959726333618164},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2901369333267212},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2715696692466736},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.1474924385547638},{"id":"https://openalex.org/C174998907","wikidata":"https://www.wikidata.org/wiki/Q357662","display_name":"Work in process","level":2,"score":0.12191355228424072},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C172707124","wikidata":"https://www.wikidata.org/wiki/Q423488","display_name":"Actuator","level":2,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0},{"id":"https://openalex.org/C165205528","wikidata":"https://www.wikidata.org/wiki/Q83371","display_name":"Seismology","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/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","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},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:2394464030","doi":null,"is_oa":false,"landing_page_url":"http://en.cnki.com.cn/Article_en/CJFDTOTAL-BJHY201404019.htm","pdf_url":null,"source":{"id":"https://openalex.org/S2764965351","display_name":"Journal of Beijing University of Chemical Technology","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4327875405","host_organization_name":"Beijing University of Chemical Technology","host_organization_lineage":["https://openalex.org/P4327875405"],"host_organization_lineage_names":["Beijing University of Chemical Technology"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":"Journal of Beijing University of Chemical Technology","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2419033492","https://openalex.org/W2360221396","https://openalex.org/W2365825610","https://openalex.org/W3122241311","https://openalex.org/W1988299631","https://openalex.org/W2024152895","https://openalex.org/W4397293117","https://openalex.org/W2245693205","https://openalex.org/W1987542093","https://openalex.org/W2373508930"],"abstract_inverted_index":{"The":[0,139],"eigenvalues":[1],"of":[2,103,123,136,141,149],"the":[3,8,15,41,67,98,104,109,116,130,134,145,150],"covariance":[4],"matrix":[5],"are":[6],"almost":[7],"same":[9],"in":[10,34,40,71,81,89,101,133],"principal":[11,30,86],"component":[12,31,87],"analysis(":[13,32],"PCA),and":[14],"single":[16,49,105],"index":[17,62,68,77,106,132],"T2or":[18],"squared":[19],"prediction":[20],"error(":[21],"SPE)":[22],"has":[23,63],"often":[24],"been":[25,64],"utilized":[26],"when":[27,46,128],"using":[28,47,129],"relative":[29,85],"RPCA)":[33],"fault":[35,82,137],"detection.":[36,138],"However,some":[37],"important":[38],"information":[39],"fault-detection":[42],"process":[43,135],"is":[44],"omitted":[45],"this":[48,59,142],"index,and":[50],"incorrect":[51],"detection":[52,83],"results":[53,100],"can":[54,78,112],"be":[55,79,113],"obtained.":[56],"To":[57],"solve":[58],"problem,a":[60],"comprehensive":[61],"introduced,by":[65],"combining":[66],"T2and":[69],"SPE":[70,107],"an":[72],"effective":[73],"way.":[74],"Then,the":[75],"combined":[76,110,131],"used":[80],"by":[84],"analysis":[88],"a":[90],"typical":[91],"Tennessee":[92],"Eastman(":[93],"TE)":[94],"process.":[95],"By":[96],"comparing":[97],"simulation":[99],"terms":[102],"and":[108,121,147],"index,it":[111],"seen":[114],"that":[115],"warning":[117],"time":[118],"was":[119,126],"earlier":[120],"number":[122],"false":[124],"alarms":[125],"less":[127],"outcomes":[140],"study":[143],"demonstrate":[144],"effectiveness":[146],"feasibility":[148],"method":[151],"proposed.":[152]},"counts_by_year":[],"updated_date":"2025-10-10T17:16:08.811792","created_date":"2016-06-24T00:00:00"}