{"id":"https://openalex.org/W2770244653","doi":"https://doi.org/10.1109/codit.2017.8102565","title":"Monitoring of chemical processes using improved multiscale KPCA","display_name":"Monitoring of chemical processes using improved multiscale KPCA","publication_year":2017,"publication_date":"2017-04-01","ids":{"openalex":"https://openalex.org/W2770244653","doi":"https://doi.org/10.1109/codit.2017.8102565","mag":"2770244653"},"language":"en","primary_location":{"id":"doi:10.1109/codit.2017.8102565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2017.8102565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)","raw_type":"proceedings-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/A5038494702","display_name":"M. Ziyan Sheriff","orcid":"https://orcid.org/0000-0002-5379-4153"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]},{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA","US"],"is_corresponding":true,"raw_author_name":"M. Ziyan Sheriff","raw_affiliation_strings":["Chemical Engineering Program, Texas A&M University at Qatar, Doha, Qatar","Department of Chemical Engineering, Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Chemical Engineering Program, Texas A&M University at Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]},{"raw_affiliation_string":"Department of Chemical Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003734787","display_name":"M. Nazmul Karim","orcid":"https://orcid.org/0000-0002-0332-4217"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"M. Nazmul Karim","raw_affiliation_strings":["Department of Chemical Engineering, Texas A&M University, College Station, TX, USA"],"affiliations":[{"raw_affiliation_string":"Department of Chemical Engineering, Texas A&M University, College Station, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056444635","display_name":"Mohamed Nounou","orcid":"https://orcid.org/0000-0003-0520-9623"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Mohamed N. Nounou","raw_affiliation_strings":["Chemical Engineering Program, Texas A&M University at Qatar, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Chemical Engineering Program, Texas A&M University at Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025512804","display_name":"Hazem Nounou","orcid":"https://orcid.org/0000-0001-8075-1581"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Hazem Nounou","raw_affiliation_strings":["Electrical and Computer Engineering Program, Texas A&M University at Qatar, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Program, Texas A&M University at Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043479229","display_name":"Majdi Mansouri","orcid":"https://orcid.org/0000-0001-6390-4304"},"institutions":[{"id":"https://openalex.org/I58152225","display_name":"Texas A&M University at Qatar","ror":"https://ror.org/03vb4dm14","country_code":"QA","type":"education","lineage":["https://openalex.org/I58152225","https://openalex.org/I91045830"]}],"countries":["QA"],"is_corresponding":false,"raw_author_name":"Majdi Mansouri","raw_affiliation_strings":["Electrical and Computer Engineering Program, Texas A&M University at Qatar, Doha, Qatar"],"affiliations":[{"raw_affiliation_string":"Electrical and Computer Engineering Program, Texas A&M University at Qatar, Doha, Qatar","institution_ids":["https://openalex.org/I58152225"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5038494702"],"corresponding_institution_ids":["https://openalex.org/I58152225","https://openalex.org/I91045830"],"apc_list":null,"apc_paid":null,"fwci":0.6035,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.70770808,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"7","issue":null,"first_page":"0049","last_page":"0054"},"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/T10640","display_name":"Spectroscopy and Chemometric Analyses","score":0.9969000220298767,"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/T12282","display_name":"Mineral Processing and Grinding","score":0.9872999787330627,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/kernel-principal-component-analysis","display_name":"Kernel principal component analysis","score":0.7767372131347656},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.7267932891845703},{"id":"https://openalex.org/keywords/fault-detection-and-isolation","display_name":"Fault detection and isolation","score":0.6697878837585449},{"id":"https://openalex.org/keywords/constant-false-alarm-rate","display_name":"Constant false alarm rate","score":0.6610084176063538},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6265743374824524},{"id":"https://openalex.org/keywords/false-alarm","display_name":"False alarm","score":0.5607180595397949},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5383786559104919},{"id":"https://openalex.org/keywords/control-chart","display_name":"Control chart","score":0.49912166595458984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49509397149086},{"id":"https://openalex.org/keywords/wavelet","display_name":"Wavelet","score":0.44770482182502747},{"id":"https://openalex.org/keywords/kernel","display_name":"Kernel (algebra)","score":0.4431927800178528},{"id":"https://openalex.org/keywords/nonlinear-system","display_name":"Nonlinear system","score":0.4281243681907654},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41633424162864685},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3507370948791504},{"id":"https://openalex.org/keywords/kernel-method","display_name":"Kernel method","score":0.2893262207508087},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25916042923927307},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.15986227989196777}],"concepts":[{"id":"https://openalex.org/C182335926","wikidata":"https://www.wikidata.org/wiki/Q17093020","display_name":"Kernel principal component analysis","level":4,"score":0.7767372131347656},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.7267932891845703},{"id":"https://openalex.org/C152745839","wikidata":"https://www.wikidata.org/wiki/Q5438153","display_name":"Fault detection and isolation","level":3,"score":0.6697878837585449},{"id":"https://openalex.org/C77052588","wikidata":"https://www.wikidata.org/wiki/Q644307","display_name":"Constant false alarm rate","level":2,"score":0.6610084176063538},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6265743374824524},{"id":"https://openalex.org/C2776836416","wikidata":"https://www.wikidata.org/wiki/Q1364844","display_name":"False alarm","level":2,"score":0.5607180595397949},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5383786559104919},{"id":"https://openalex.org/C196985124","wikidata":"https://www.wikidata.org/wiki/Q1369242","display_name":"Control chart","level":3,"score":0.49912166595458984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49509397149086},{"id":"https://openalex.org/C47432892","wikidata":"https://www.wikidata.org/wiki/Q831390","display_name":"Wavelet","level":2,"score":0.44770482182502747},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.4431927800178528},{"id":"https://openalex.org/C158622935","wikidata":"https://www.wikidata.org/wiki/Q660848","display_name":"Nonlinear system","level":2,"score":0.4281243681907654},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41633424162864685},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3507370948791504},{"id":"https://openalex.org/C122280245","wikidata":"https://www.wikidata.org/wiki/Q620622","display_name":"Kernel method","level":3,"score":0.2893262207508087},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25916042923927307},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.15986227989196777},{"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/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/codit.2017.8102565","is_oa":false,"landing_page_url":"https://doi.org/10.1109/codit.2017.8102565","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2017 4th International Conference on Control, Decision and Information Technologies (CoDIT)","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":22,"referenced_works":["https://openalex.org/W1494590631","https://openalex.org/W1587559447","https://openalex.org/W1870381889","https://openalex.org/W1966473318","https://openalex.org/W1975630243","https://openalex.org/W1993694278","https://openalex.org/W1994505190","https://openalex.org/W1999935041","https://openalex.org/W2001100372","https://openalex.org/W2062042137","https://openalex.org/W2066745331","https://openalex.org/W2068561554","https://openalex.org/W2077109639","https://openalex.org/W2091938670","https://openalex.org/W2118274278","https://openalex.org/W2132984323","https://openalex.org/W2149684740","https://openalex.org/W2301094409","https://openalex.org/W2327604229","https://openalex.org/W2486189619","https://openalex.org/W6697858458","https://openalex.org/W6701413054"],"related_works":["https://openalex.org/W2534878021","https://openalex.org/W2512565647","https://openalex.org/W1983393909","https://openalex.org/W2040150569","https://openalex.org/W2774527540","https://openalex.org/W2468095590","https://openalex.org/W2132174924","https://openalex.org/W4256035990","https://openalex.org/W1911540634","https://openalex.org/W2013909972"],"abstract_inverted_index":{"Statistical":[0],"process":[1,70],"monitoring":[2],"charts":[3],"are":[4,72,103,174],"critical":[5],"in":[6,62,90,108,147,180],"ensuring":[7],"safety":[8],"for":[9],"many":[10,26],"chemical":[11,27],"processes.":[12],"Principal":[13,44],"Component":[14,45],"Analysis":[15,46],"(PCA)":[16],"is":[17,48,145,187],"often":[18],"used,":[19],"due":[20],"to":[21,105,123,149,189,220],"its":[22],"computational":[23],"simplicity.":[24],"However,":[25],"processes":[28],"may":[29],"be":[30],"inherently":[31],"nonlinear,":[32],"and":[33,74,76,210],"this":[34,139],"degrades":[35],"the":[36,39,52,152,159,171,182,202,224],"performance":[37],"of":[38,51,82,126],"linear":[40],"PCA":[41,54,67],"method.":[42],"Kernel":[43],"(KPCA)":[47],"an":[49,141],"extension":[50],"conventional":[53,225],"chart,":[55],"which":[56,181],"can":[57],"help":[58],"deal":[59,150],"with":[60,151],"nonlinearity":[61],"a":[63,79,133,163,177,191],"given":[64],"process.":[65],"Additionally,":[66],"assumes":[68],"that":[69,99,102,201],"data":[71,94],"Gaussian":[73],"uncorrelated,":[75],"only":[77],"contain":[78],"moderate":[80],"level":[81],"noise.":[83],"These":[84],"assumptions":[85],"do":[86],"not":[87],"usually":[88,131],"hold":[89],"practice.":[91],"Multiscale":[92],"wavelet-based":[93],"representation":[95],"produces":[96],"wavelet":[97],"coefficients":[98],"possess":[100],"characteristics":[101],"able":[104],"handle":[106],"violations":[107],"these":[109,127],"assumptions.":[110],"A":[111],"multiscale":[112],"kernel":[113],"principal":[114],"component":[115],"analysis":[116],"(MSKPCA)":[117],"method":[118,173,186,205],"has":[119],"already":[120],"been":[121],"developed":[122,146,183],"tackle":[124],"all":[125],"issues,":[128],"but":[129],"it":[130],"provides":[132,206],"high":[134],"false":[135,153,211],"alarm":[136,154,212],"rate.":[137],"In":[138],"paper,":[140],"improved":[142,172,203],"MKSPCA":[143],"chart":[144],"order":[148],"rate":[155],"issue,":[156],"by":[157,170,223],"smoothening":[158],"detection":[160,185,209],"statistic":[161],"using":[162],"mean":[164],"filter.":[165],"The":[166,197],"advantages":[167],"brought":[168],"forward":[169],"demonstrated":[175],"through":[176],"simulated":[178],"example":[179],"fault":[184],"used":[188],"monitor":[190],"continuous":[192],"stirred":[193],"tank":[194],"reactor":[195],"(CSTR).":[196],"results":[198],"clearly":[199],"show":[200],"MSKPCA":[204],"lower":[207],"missed":[208],"rates":[213],"as":[214,216],"well":[215],"ARL1":[217],"values":[218],"compared":[219],"those":[221],"provided":[222],"methods.":[226]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
