{"id":"https://openalex.org/W2392065687","doi":null,"title":"Monitoring, diagnostics and improvement of process performance","display_name":"Monitoring, diagnostics and improvement of process performance","publication_year":2009,"publication_date":"2009-01-01","ids":{"openalex":"https://openalex.org/W2392065687","mag":"2392065687"},"language":"en","primary_location":{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/1333","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/1333","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},"volume":null,"type":"dissertation","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/A5013397782","display_name":"Muhammad T. Rafique","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Muhammad T. Rafique","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5013397782"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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":9.999999747378752e-05,"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/process-monitoring","display_name":"process monitoring","score":0.8960000276565552},{"id":"https://openalex.org/keywords/fault-detection","display_name":"fault detection","score":0.8870000243186951},{"id":"https://openalex.org/keywords/fault-diagnosis","display_name":"fault diagnosis","score":0.9990000128746033},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"principal component analysis","score":0.8519999980926514},{"id":"https://openalex.org/keywords/independent-component-analysis","display_name":"independent component analysis","score":1.0},{"id":"https://openalex.org/keywords/process-parameter-estimation","display_name":"process parameter estimation","score":0.8759999871253967},{"id":"https://openalex.org/keywords/wastewater-treatment-plants","display_name":"wastewater treatment plants","score":0.9350000023841858},{"id":"https://openalex.org/keywords/air-pollution-data","display_name":"air pollution data","score":0.8610000014305115},{"id":"https://openalex.org/keywords/multivariate-analysis","display_name":"multivariate analysis","score":0.6420000195503235},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.7039999961853027},{"id":"https://openalex.org/keywords/non-gaussian-data","display_name":"non-Gaussian data","score":0.8410000205039978},{"id":"https://openalex.org/keywords/chemical-process-data","display_name":"chemical process data","score":0.5929999947547913},{"id":"https://openalex.org/keywords/data-driven-process-monitoring","display_name":"data-driven process monitoring","score":0.5410000085830688},{"id":"https://openalex.org/keywords/process-improvement","display_name":"process improvement","score":0.4819999933242798}],"concepts":[{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.497360497713089},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.3926231265068054},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3603905737400055},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.06029742956161499}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:espace.curtin.edu.au:20.500.11937/1333","doi":null,"is_oa":false,"landing_page_url":"http://hdl.handle.net/20.500.11937/1333","pdf_url":null,"source":{"id":"https://openalex.org/S4306401790","display_name":"eSpace (Curtin University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205640436","host_organization_name":"Curtin University","host_organization_lineage":["https://openalex.org/I205640436"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"pmh:oai:figshare.com:article/31457356","doi":null,"is_oa":false,"landing_page_url":"https://figshare.com/articles/thesis/Monitoring_diagnostics_and_improvement_of_process_performance/31457356","pdf_url":null,"source":{"id":"https://openalex.org/S4377196282","display_name":"Figshare","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4210132348","host_organization_name":"Figshare (United Kingdom)","host_organization_lineage":["https://openalex.org/I4210132348"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Thesis"},{"id":"mag:2392065687","doi":null,"is_oa":false,"landing_page_url":"https://espace.curtin.edu.au/bitstream/20.500.11937/1333/2/130702_Rafique2009.pdf","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W206389134","https://openalex.org/W619908482","https://openalex.org/W1481572261","https://openalex.org/W1489793438","https://openalex.org/W1520960050","https://openalex.org/W1555148682","https://openalex.org/W1576559684","https://openalex.org/W1975019656","https://openalex.org/W1983138536","https://openalex.org/W1997616741","https://openalex.org/W2001100372","https://openalex.org/W2003516238","https://openalex.org/W2008239701","https://openalex.org/W2008695109","https://openalex.org/W2009242283","https://openalex.org/W2014894054","https://openalex.org/W2016393776","https://openalex.org/W2017082632","https://openalex.org/W2019502123","https://openalex.org/W2026775847","https://openalex.org/W2029890144","https://openalex.org/W2034832508","https://openalex.org/W2035593843","https://openalex.org/W2057283314","https://openalex.org/W2062994871","https://openalex.org/W2066551872","https://openalex.org/W2068193536","https://openalex.org/W2069672128","https://openalex.org/W2070135905","https://openalex.org/W2077254407","https://openalex.org/W2078455576","https://openalex.org/W2088156901","https://openalex.org/W2088385089","https://openalex.org/W2091676331","https://openalex.org/W2093598546","https://openalex.org/W2101517004","https://openalex.org/W2104433707","https://openalex.org/W2135663228","https://openalex.org/W2138632017","https://openalex.org/W2147129131","https://openalex.org/W2148013088","https://openalex.org/W2152820192","https://openalex.org/W2416214153","https://openalex.org/W2801004064","https://openalex.org/W2890828616","https://openalex.org/W3121158818"],"related_works":["https://openalex.org/W2070135905","https://openalex.org/W2145114096","https://openalex.org/W2383357198","https://openalex.org/W2125568459","https://openalex.org/W2525144437","https://openalex.org/W4317521247","https://openalex.org/W985490603","https://openalex.org/W2056638491","https://openalex.org/W2072405524","https://openalex.org/W2153279803"],"abstract_inverted_index":{"The":[0,71,155,232,318],"data":[1,20,80,168,217,255,266,336,355,398,402],"generated":[2],"in":[3,43,63,126,235,269,340,395,432,500,514,522],"a":[4,8,122,171,304,358,474],"chemical":[5],"industry":[6],"is":[7,24,51,76,141,204,381,443],"reflection":[9],"of":[10,32,40,73,84,97,107,138,144,146,152,158,170,185,192,200,209,238,248,280,285,303,309,360,374,392,411,425,429,450,470,487,504,516],"the":[11,14,41,79,95,142,166,178,182,186,193,198,201,236,245,265,277,310,326,366,372,384,393,396,412,423,430,439,447,468,481,485,501,505],"process.":[12],"With":[13],"modern":[15],"computer":[16],"control":[17],"systems":[18],"and":[19,60,89,105,113,119,148,160,177,196,219,253,274,290,301,332,343,362,378,390,399,409,427,452,460,498,520],"logging":[21],"facilities,":[22],"there":[23,35],"an":[25,333],"increasing":[26],"ability":[27],"to":[28,53,65,77,165,227,244,251,322,346,467],"collect":[29],"large":[30],"amounts":[31],"data.":[33],"As":[34,338,507],"are":[36,162,188,320,464],"many":[37,66],"underlying":[38],"aspects":[39],"process":[42,58,98,153,179,187,305,351,488,528],"that":[44,264,386,438],"data,":[45],"with":[46,116,307,365,496,524],"its":[47,525],"proper":[48],"utilization,":[49],"it":[50,261],"possible":[52],"obtain":[54],"useful":[55,348],"information":[56],"for":[57,94,110,150,181,298,350,473,484,527],"monitoring":[59,352],"fault":[61,111,299,455],"diagnosis":[62,114,302,456],"addition":[64],"other":[67],"decision":[68],"making":[69],"activities.":[70],"purpose":[72],"this":[74,127,139,270,281],"research":[75,101,128,140],"utilize":[78],"driven":[81],"multivariate":[82,283],"techniques":[83,109,157,194,224,250,284,319,449],"Principal":[85,286],"Component":[86,91,133,287,292,315],"Analysis":[87,92,134,288,293,316],"(PCA)":[88,289],"Independent":[90,132,291,314],"(ICA)":[93,294],"estimation":[96,151,486,515],"parameters.":[99,154],"This":[100,436,477],"also":[102,479],"includes":[103,480],"analysis":[104,260],"comparison":[106,359],"these":[108,249,415],"detection":[112,300,424],"along":[115,306,364],"introduction,":[117],"explanation":[118],"results":[120,240,421],"from":[121,383,414],"new":[123,311,440],"methodology":[124],"developed":[125,368,441],"work":[129,271,282,482],"namely":[130],"Hybrid":[131,313],"(HICA).The":[135],"first":[136,502],"part":[137,279,478,503],"utilization":[143],"models":[145],"PCA":[147,159,342,361,377,387,451,497,519],"ICA":[149,161,344,363,405,459,499,521],"individual":[156,223,448],"applied":[163,321],"separately":[164],"original":[167],"set":[169,267,403],"waste":[172,327],"water":[173,328],"treatment":[174,329],"plant":[175,330],"(WWTP)":[176,331],"parameters":[180,203,230,489,517],"unknown":[183],"conditions":[184],"calculated.":[189],"For":[190,454],"each":[191],"(PCA":[195],"ICA),":[197],"validation":[199,237],"calculated":[202],"carried":[205],"out":[206],"by":[207,422],"construction":[208],"Decision":[210],"Trees":[211],"on":[212,353],"WWTP":[213,397],"dataset":[214],"using":[215,457,490],"inductive":[216],"mining":[218],"See":[220],"5.0.":[221],"Both":[222],"were":[225],"able":[226],"estimate":[228],"all":[229,239],"successfully.":[231],"minor":[233],"limitation":[234],"may":[241],"be":[242,347],"due":[243],"strict":[246],"application":[247],"Gaussian":[252,273],"non-Gaussian":[254,275],"sets":[256],"respectively.":[257,404],"Using":[258],"statistical":[259],"was":[262,494,511],"shown":[263],"used":[268,297],"exhibits":[272],"behaviour.In":[276],"second":[278],"have":[295],"been":[296],"introduction":[308],"technique,":[312],"(HICA).":[317],"two":[323],"case":[324,434],"studies,":[325],"Air":[334,400],"pollution":[335,401],"set.":[337],"reported":[339],"literature,":[341],"proved":[345],"tools":[349],"both":[354,433],"set,":[356],"but":[357],"newly":[367],"technique":[369,492,510],"(HICA)":[370],"illustrated":[371],"superiority":[373],"HICA":[375,418,491,509],"over":[376],"ICA.":[379,453],"It":[380],"evident":[382],"fact":[385],"detected":[388,407],"74%":[389],"67%":[391],"faults":[394,413,431],"successfully":[406],"61.3%":[408],"62%":[410],"datasets.":[416],"Finally":[417],"showed":[419,437],"improved":[420],"90%":[426],"81%":[428],"studies.":[435],"algorithm":[442],"more":[444,512],"effective":[445],"than":[446,518],"PCA,":[458],"HICA,":[461],"contribution":[462],"plots":[463],"constructed":[465],"leading":[466],"identification":[469],"responsible":[471],"variable/s":[472],"particular":[475],"fault.":[476],"done":[483,495],"as":[493],"research.":[506],"expected":[508],"successful":[513],"line":[523],"working":[526],"monitoring.":[529]},"counts_by_year":[],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2016-06-24T00:00:00"}