{"id":"https://openalex.org/W2136129456","doi":null,"title":"Plant-wide monitoring of processes under closed-loop control","display_name":"Plant-wide monitoring of processes under closed-loop control","publication_year":2001,"publication_date":"2001-08-01","ids":{"openalex":"https://openalex.org/W2136129456","mag":"2136129456"},"language":"en","primary_location":{"id":"pmh:oai:repositories.lib.utexas.edu:2152/10849","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/2152/10849","pdf_url":null,"source":{"id":"https://openalex.org/S4306400568","display_name":"Texas ScholarWorks (Texas Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210102904","host_organization_name":"Texas Digital Library","host_organization_lineage":["https://openalex.org/I4210102904"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},"parent_works":[],"lineage":["https://openalex.org/W2136129456"],"child_works_count":0,"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/A5029200752","display_name":"Sergio Valle\u2010Cervantes","orcid":"https://orcid.org/0000-0003-2675-4233","observed_orcids":["https://orcid.org/0000-0003-2675-4233"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Sergio Valle\u2010Cervantes","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0003-2675-4233","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5029200752"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.7696,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.75662969,"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":0.8389999866485596},{"id":"https://openalex.org/keywords/fault-identification","display_name":"fault identification","score":0.9089999794960022},{"id":"https://openalex.org/keywords/process-monitoring","display_name":"process monitoring","score":0.7799999713897705},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.8889999985694885},{"id":"https://openalex.org/keywords/singular-value-decomposition","display_name":"singular value decomposition","score":0.9100000262260437},{"id":"https://openalex.org/keywords/contribution-plots","display_name":"contribution plots","score":0.671999990940094},{"id":"https://openalex.org/keywords/decentralized-monitoring","display_name":"decentralized monitoring","score":0.6589999794960022},{"id":"https://openalex.org/keywords/decentralized-diagnosis","display_name":"decentralized diagnosis","score":0.5929999947547913},{"id":"https://openalex.org/keywords/feedback-control","display_name":"feedback control","score":0.7279999852180481},{"id":"https://openalex.org/keywords/set-point-adjustment","display_name":"setpoint adjustment","score":0.5450000166893005},{"id":"https://openalex.org/keywords/grade-changes","display_name":"grade changes","score":0.5410000085830688}],"concepts":[{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.48156097531318665},{"id":"https://openalex.org/C2987858997","wikidata":"https://www.wikidata.org/wiki/Q7312160","display_name":"Monitoring and control","level":2,"score":0.4219828248023987},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36208587884902954},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.3366551399230957},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.2467677891254425},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.23894327878952026},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.12048026919364929}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:repositories.lib.utexas.edu:2152/10849","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/2152/10849","pdf_url":null,"source":{"id":"https://openalex.org/S4306400568","display_name":"Texas ScholarWorks (Texas Digital Library)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210102904","host_organization_name":"Texas Digital Library","host_organization_lineage":["https://openalex.org/I4210102904"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":null},{"id":"mag:2136129456","doi":null,"is_oa":false,"landing_page_url":"https://repositories.lib.utexas.edu/handle/2152/10849","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2478817135","https://openalex.org/W2072311468","https://openalex.org/W7048986932","https://openalex.org/W634164905","https://openalex.org/W7139738869","https://openalex.org/W7056936285","https://openalex.org/W2332534333","https://openalex.org/W7023880055","https://openalex.org/W3194594384","https://openalex.org/W634142898"],"abstract_inverted_index":{"Faults":[0],"in":[1,20,62,92,165,218,354,384,402,413,463,510],"industrial":[2,253,441],"processes":[3],"produce":[4],"off-spec":[5],"products,":[6],"unsafe":[7],"conditions,":[8],"\\nand":[9,169,316],"damage":[10],"to":[11,14,81,127,153,185,372,394,439,479,546,550,565],"equipment.":[12],"According":[13],"Misra":[15],"et":[16],"al.":[17],"(1999),":[18],"just":[19],"the":[21,59,68,121,124,129,141,150,154,166,177,187,192,219,240,272,276,288,308,323,357,373,396,400,414,459,470,481,484,493,501,505,508,511,518,522,531,562,578],"U.S.":[22],"\\npetrochemical":[23],"industries,":[24],"an":[25,252,440],"annual":[26],"loss":[27],"of":[28,40,58,104,123,131,143,194,197,221,292,304,329,343,356,381,399,408,498],"$20":[29],"billion":[30],"has":[31,55],"been":[32],"estimated":[33],"because":[34],"\\nof":[35,70,157],"poor":[36],"monitoring":[37,89,349,429],"and":[38,53,75,174,203,264,290,307,334,345,350,360,363,376,410,419,540],"control":[39],"such":[41],"abnormal":[42],"situations.":[43],"Therefore,":[44],"\\ndeveloping":[45],"efficient":[46],"methods":[47,77,90,161,189],"for":[48,347,424],"on":[49,67,97,120,230,251,390,432,577],"line":[50],"fault":[51,73,223,231,273,401,450,471,485,488,494,554,567],"detection":[52,74],"identification":[54,76,224,274,451,472,506,573],"\\nbeen":[56],"one":[57,206],"main":[60],"tasks":[61],"industry.":[63],"This":[64,427],"dissertation":[65,94,106],"focuses":[66],"development":[69],"process":[71,85,201,382,391],"monitoring,":[72],"that":[78,117,149,162,286],"\\nare":[79,107,146,369,490],"applied":[80,438,545],"a":[82,138,208,222,269,385,403,449,552],"polyester":[83,254,442,579],"film":[84,255,580],"at":[86],"DuPont.":[87],"\\nThe":[88,246],"developed":[91],"this":[93,105,547],"are":[95,163,172,183,199,234,339,422],"based":[96,119,229,389,431],"\\nprincipal":[98],"component":[99,295],"analysis":[100,367,461],"(PCA).":[101],"The":[102,326,341,365,379,569],"contributions":[103,412],"summarized":[108],"as":[109],"follows:":[110],"\\n-":[111,212,282,445],"A":[112,213,556],"new":[113,214,519],"method":[114,136,248,279,574],"is":[115,118,207,216,249,258,280,284,352,436,453,514,525,544,558,575],"presented":[116,217,462],"variance":[122],"reconstruction":[125],"\\nerror":[126],"select":[128],"number":[130,142,156,193],"principal":[132,294],"components":[133],"(PC\u2019s).":[134],"\\nThis":[135],"demonstrates":[137],"minimum":[139,151],"over":[140],"PC\u2019s.":[144,158],"Conditions":[145],"given":[147],"so":[148],"corresponds":[152],"true":[155],"Ten":[159],"other":[160,205],"available":[164],"signal":[167,524],"processing":[168],"chemometrics":[170],"literature":[171],"overviewed":[173],"compared":[175],"with":[176],"proposed":[178,247,423,454],"\\nmethod.":[179],"Three":[180],"data":[181,202,238,549],"sets":[182],"used":[184,478,515],"test":[186],"different":[188],"\\nfor":[190],"selecting":[191],"PC\u2019s:":[195],"two":[196],"them":[198],"real":[200],"\\nthe":[204],"batch":[209],"reactor":[210],"simulation.":[211],"approach":[215,452],"use":[220,342],"index":[225],"\\nto":[226,468,503,516],"identify":[227,480,517],"faults":[228],"directions.":[232],"These":[233],"extracted":[235,491],"from":[236,302,322,492],"\\nabnormal":[237],"using":[239,455,499,527,561],"singular":[241],"value":[242],"decomposition":[243],"(SVD)":[244],"method.":[245],"demonstrated":[250,576],"\\nprocess":[256],"which":[257],"characterized":[259],"by":[260],"frequent":[261],"set-point":[262],"changes":[263],"multiple":[265],"\\ngrade":[266],"changes.":[267],"Further,":[268],"comparison":[270],"between":[271],"\\nindexand":[275],"contribution":[277],"plot":[278],"given.":[281],"It":[283],"shown":[285],"both":[287],"loadings":[289],"scores":[291,317,362],"consensus":[293],"\\nanalysis":[296],"(PCA)":[297],"can":[298,318],"be":[299,319],"calculated":[300,321],"directly":[301,320],"those":[303],"regular":[305,324,358,374,456],"\\nPCA,":[306],"multi-block":[309,331,335,366],"partial":[310],"least":[311],"squares":[312],"(PLS)":[313],"loadings,":[314],"weights,":[315],"PLS.":[325],"orthogonal":[327],"\\nproperties":[328],"four":[330],"PCA":[332,375,543],"(MBPCA)":[333],"PLS":[336,361,377],"\\n(MBPLS)":[337],"algorithms":[338,368],"explored.":[340],"MBPCA":[344,476,557],"MBPLS":[346],"\\ndecentralized":[348],"diagnosis":[351],"derived":[353],"terms":[355],"\\nPCA":[359],"residuals.":[364],"basically":[370],"equivalent":[371],"algorithms.":[378],"\\nblocking":[380],"variables":[383],"large":[386],"scale":[387],"plant,":[388],"\\nknowledge,":[392],"helps":[393],"localize":[395],"root":[397],"cause":[398],"decentralized":[404,425,428],"\\nmanner.":[405],"New":[406],"definitions":[407],"block":[409,482,495,513],"variable":[411,434],"\\nsquared":[415],"prediction":[416],"error":[417],"(SPE)":[418],"Hotteling\u2019s":[420],"T2":[421],"\\nmonitoring.":[426],"method,":[430],"\\nproper":[433],"blocking,":[435],"successfully":[437],"\\nfilm":[443],"process.":[444],"In":[446],"Chapter":[447,464],"4":[448],"\\nPCA.":[457],"With":[458],"multiblock":[460,571],"5,":[465],"we":[466,536],"propose":[467],"integrate":[469],"indexwith":[473],"MBPCA.":[474],"First":[475],"\\nis":[477],"where":[483],"occurs.":[486],"Then":[487],"directions":[489],"only.":[496],"Instead":[497],"all":[500],"sensors":[502],"do":[504],"only":[507],"information":[509],"faulty":[512],"fault.":[520],"Next":[521],"original":[523],"decomposed":[526],"\\nwavelets.":[528],"By":[529],"keeping":[530],"most":[532],"important":[533],"wavelet":[534],"coefficients,":[535],"obtain":[537],"\\na":[538],"cleaned":[539],"de-noised":[541,548],"signal.":[542],"\\nobtain":[551],"better":[553],"detection.":[555],"also":[559],"conducted":[560],"\\nde-noised":[563],"signal,":[564],"improve":[566],"identification.":[568],"combined":[570],"\\nfault":[572],"\\nprocess.":[581]},"counts_by_year":[],"updated_date":"2026-11-09T13:22:03.289127","created_date":"2016-06-24T00:00:00"}